| Type: | Package | 
| Title: | SDTM Test Data for the 'Pharmaverse' Family of Packages | 
| Version: | 1.3.1 | 
| Description: | A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on https://www.cdisc.org/. | 
| License: | Apache License (≥ 2.0) | 
| URL: | https://pharmaverse.github.io/pharmaversesdtm/, https://github.com/pharmaverse/pharmaversesdtm/ | 
| Depends: | R (≥ 3.5.0) | 
| Suggests: | covr, devtools, knitr, lintr, metatools, pkgdown, rmarkdown, roxygen2, spelling, testthat, usethis | 
| Encoding: | UTF-8 | 
| Language: | en-US | 
| LazyData: | true | 
| RoxygenNote: | 7.3.2 | 
| NeedsCompilation: | no | 
| Packaged: | 2025-08-21 08:36:51 UTC; lina.patil | 
| Author: | Lina Patil [aut, cre],
  Stefan Bundfuss | 
| Maintainer: | Lina Patil <lina.patil@cytel.com> | 
| Repository: | CRAN | 
| Date/Publication: | 2025-08-21 09:20:02 UTC | 
pharmaversesdtm: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description
 
A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on https://www.cdisc.org/.
Author(s)
Maintainer: Lina Patil lina.patil@cytel.com
Authors:
- Stefan Bundfuss (ORCID) 
- Fanny Gautier fanny.gautier@cytel.com (ORCID) 
- Edoardo Mancini edoardo.mancini@roche.com (ORCID) 
- Tomoyuki Namai 
- Vinh Nguyen 
- Vladyslav Shuliar (ORCID) 
Other contributors:
- Cytel Inc. [copyright holder, funder] 
- F. Hoffmann-La Roche AG [copyright holder, funder] 
- GlaxoSmithKline LLC [copyright holder, funder] 
See Also
Useful links:
Adverse Events
Description
An updated SDTM AE dataset that uses the CDISC pilot project
Usage
ae
Format
A data frame with 35 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- AESEQ
- Sequence Number 
- AESPID
- Sponsor-Defined Identifier 
- AETERM
- Reported Term for the Adverse Event 
- AELLT
- Lowest Level Term 
- AELLTCD
- Lowest Level Term Code 
- AEDECOD
- Dictionary-Derived Term 
- AEPTCD
- Preferred Term Code 
- AEHLT
- High Level Term 
- AEHLTCD
- High Level Term Code 
- AEHLGT
- High Level Group Term 
- AEHLGTCD
- High Level Group Term Code 
- AEBODSYS
- Body System or Organ Class 
- AEBDSYCD
- Body System or Organ Class Code 
- AESOC
- Primary System Organ Class 
- AESOCCD
- Primary System Organ Class Code 
- AESEV
- Severity/Intensity 
- AESER
- Serious Event 
- AEACN
- Action Taken with Study Treatment 
- AEREL
- Causality 
- AEOUT
- Outcome of Adverse Event 
- AESCAN
- Involves Cancer 
- AESCONG
- Congenital Anomaly or Birth Defect 
- AESDISAB
- Persist or Signif Disability/Incapacity 
- AESDTH
- Results in Death 
- AESHOSP
- Requires or Prolongs Hospitalization 
- AESLIFE
- Is Life Threatening 
- AESOD
- Occurred with Overdose 
- AEDTC
- Date/Time of Collection 
- AESTDTC
- Start Date/Time of Adverse Event 
- AEENDTC
- End Date/Time of Adverse Event 
- AESTDY
- Study Day of Start of Adverse Event 
- AEENDY
- Study Day of End of Adverse Event 
Details
Adverse Events
An updated SDTM AE dataset that uses the CDISC pilot project
Author(s)
Gopi Vegesna
Source
Access the source of the Adverse Events dataset.
Adverse Events for Ophthalmology
Description
An example Adverse Events SDTM dataset with ophthalmology-specific variable AELAT
Usage
ae_ophtha
Format
A data frame with 37 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- AESEQ
- Sequence Number 
- AESPID
- Sponsor-Defined Identifier 
- AETERM
- Reported Term for the Adverse Event 
- AELLT
- Lowest Level Term 
- AELLTCD
- Lowest Level Term Code 
- AEDECOD
- Dictionary-Derived Term 
- AEPTCD
- Preferred Term Code 
- AEHLT
- High Level Term 
- AEHLTCD
- High Level Term Code 
- AEHLGT
- High Level Group Term 
- AEHLGTCD
- High Level Group Term Code 
- AEBODSYS
- Body System or Organ Class 
- AEBDSYCD
- Body System or Organ Class Code 
- AESOC
- Primary System Organ Class 
- AESOCCD
- Primary System Organ Class Code 
- AESEV
- Severity/Intensity 
- AESER
- Serious Event 
- AEACN
- Action Taken with Study Treatment 
- AEREL
- Causality 
- AEOUT
- Outcome of Adverse Event 
- AESCAN
- Involves Cancer 
- AESCONG
- Congenital Anomaly or Birth Defect 
- AESDISAB
- Persist or Signif Disability/Incapacity 
- AESDTH
- Results in Death 
- AESHOSP
- Requires or Prolongs Hospitalization 
- AESLIFE
- Is Life Threatening 
- AESOD
- Occurred with Overdose 
- AEDTC
- Date/Time of Collection 
- AESTDTC
- Start Date/Time of Adverse Event 
- AEENDTC
- End Date/Time of Adverse Event 
- AESTDY
- Study Day of Start of Adverse Event 
- AEENDY
- Study Day of End of Adverse Event 
- AELAT
- Laterality 
- AELOC
- Location 
Details
Adverse Events for Ophthalmology
An example Adverse Events SDTM dataset with ophthalmology-specific variable AELAT
Source
Constructed using ae from the pharmaversesdtm package
Clinical Events for Vaccine
Description
An example SDTM CE dataset for vaccine studies
Usage
ce_vaccine
Format
A data frame with 29 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- CESEQ
- Sequence Number 
- CELNKID
- Link ID 
- CELNKGRP
- Link Group ID 
- CETERM
- Reported Term for the Clinical Event 
- CEDECOD
- Dictionary-Derived Term 
- CELAT
- Laterality of Location of Clinical Event 
- CELOC
- Location of Clinical Event 
- CECAT
- Category for Clinical Event 
- CESCAT
- Subcategory for Clinical Event 
- CEPRESP
- Clinical Event Pre-Specified 
- CEOCCUR
- Clinical Event Occurrence 
- CESEV
- Severity/Intensity 
- CEREL
- Causality 
- CEOUT
- Outcome of Clinical Event 
- EPOCH
- Epoch 
- CEDTC
- Date/Time of Event Collection 
- CESTDTC
- Start Date/Time of Clinical Event 
- CEENDTC
- End Date/Time of Clinical Event 
- CEDUR
- Duration of Clinical Event 
- CETPT
- Planned Time Point Name 
- CETPTNUM
- Planned Time Point Number 
- CETPTREF
- Time Point Reference 
- CERFTDTC
- Date/Time of Reference Time Point 
- CEEVINTX
- Evaluation Interval Text 
- CESTAT
- Completion Status 
- CEREASND
- Reason Clinical Event Not Collected 
Details
Clinical Events for Vaccine
An example SDTM CE dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Concomitant Medication
Description
A SDTM CM dataset from the CDISC pilot project
Usage
cm
Format
A data frame with 22 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- CMSEQ
- Sequence Number 
- CMSPID
- Sponsor-Defined Identifier 
- CMTRT
- Reported Name of Drug, Med, or Therapy 
- CMDECOD
- Standardized Medication Name 
- CMINDC
- Indication 
- CMCLAS
- Medication Class 
- CMDOSE
- Dose per Administration 
- CMDOSU
- Dose Units 
- CMDOSFRQ
- Dosing Frequency per Interval 
- CMROUTE
- Route of Administration 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- CMDTC
- Date/Time of Collection 
- CMSTDTC
- Start Date/Time of Medication 
- CMENDTC
- End Date/Time of Medication 
- CMSTDY
- Study Day of Start of Medication 
- CMENDY
- Study Day of End of Medication 
- CMENRTPT
- End Relative to Reference Time Point 
Details
Concomitant Medication
A SDTM CM dataset from the CDISC pilot project
Source
Access the source of the Concomitant Medication dataset.
Demography
Description
A SDTM DM dataset from the CDISC pilot project
Usage
dm
Format
A data frame with 25 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- SUBJID
- Subject Identifier for the Study 
- RFSTDTC
- Subject Reference Start Date/Time 
- RFENDTC
- Subject Reference End Date/Time 
- RFXSTDTC
- Date/Time of First Study Treatment 
- RFXENDTC
- Date/Time of Last Study Treatment 
- RFICDTC
- Date/Time of Informed Consent 
- RFPENDTC
- Date/Time of End of Participation 
- DTHDTC
- Date/Time of Death 
- DTHFL
- Subject Death Flag 
- SITEID
- Study Site Identifier 
- AGE
- Age 
- AGEU
- Age Units 
- SEX
- Sex 
- RACE
- Race 
- ETHNIC
- Ethnicity 
- ARMCD
- Planned Arm Code 
- ARM
- Description of Planned Arm 
- ACTARMCD
- Actual Arm Code 
- ACTARM
- Description of Actual Arm 
- COUNTRY
- Country 
- DMDTC
- Date/Time of Collection 
- DMDY
- Study Day of Collection 
Details
Demography
A SDTM DM dataset from the CDISC pilot project
Source
Access the source of the Demography dataset.
Demographic Dataset-metabolic
Description
A SDTM DM dataset for metabolic studies
Usage
dm_metabolic
Format
A data frame with 25 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- SUBJID
- Subject Identifier for the Study 
- RFSTDTC
- Subject Reference Start Date/Time 
- RFENDTC
- Subject Reference End Date/Time 
- RFXSTDTC
- Date/Time of First Study Treatment 
- RFXENDTC
- Date/Time of Last Study Treatment 
- RFICDTC
- Date/Time of Informed Consent 
- RFPENDTC
- Date/Time of End of Participation 
- DTHDTC
- Date/Time of Death 
- DTHFL
- Subject Death Flag 
- SITEID
- Study Site Identifier 
- AGE
- Age 
- AGEU
- Age Units 
- SEX
- Sex 
- RACE
- Race 
- ETHNIC
- Ethnicity 
- ARMCD
- Planned Arm Code 
- ARM
- Description of Planned Arm 
- ACTARMCD
- Actual Arm Code 
- ACTARM
- Description of Actual Arm 
- COUNTRY
- Country 
- DMDTC
- Date/Time of Collection 
- DMDY
- Study Day of Collection 
Details
Demographic Dataset-metabolic
A SDTM DM dataset for metabolic studies
Source
Constructed by admiralmetabolic developers
Demographic Dataset-pediatrics
Description
An updated SDTM DM dataset with pediatric patients
Usage
dm_peds
Format
A data frame with 26 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- SUBJID
- Subject Identifier for the Study 
- RFSTDTC
- Subject Reference Start Date/Time 
- RFENDTC
- Subject Reference End Date/Time 
- RFXSTDTC
- Date/Time of First Study Treatment 
- RFXENDTC
- Date/Time of Last Study Treatment 
- RFICDTC
- Date/Time of Informed Consent 
- RFPENDTC
- Date/Time of End of Participation 
- DTHDTC
- Date/Time of Death 
- DTHFL
- Subject Death Flag 
- SITEID
- Study Site Identifier 
- AGE
- Age 
- AGEU
- Age Units 
- SEX
- Sex 
- RACE
- Race 
- ETHNIC
- Ethnicity 
- ARMCD
- Planned Arm Code 
- ARM
- Description of Planned Arm 
- ACTARMCD
- Actual Arm Code 
- ACTARM
- Description of Actual Arm 
- COUNTRY
- Country 
- DMDTC
- Date/Time of Collection 
- DMDY
- Study Day of Collection 
- BRTHDTC
- Date/Time of Birth 
Details
Demographic Dataset-pediatrics
An updated SDTM DM dataset with pediatric patients
Source
Constructed by admiralpeds developers
Demographics for Vaccine
Description
An example SDTM DM dataset for vaccine studies
Usage
dm_vaccine
Format
A data frame with 28 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- SUBJID
- Subject Identifier for the Study 
- RFSTDTC
- Subject Reference Start Date/Time 
- RFENDTC
- Subject Reference End Date/Time 
- RFXSTDTC
- Date/Time of First Study Treatment 
- RFXENDTC
- Date/Time of Last Study Treatment 
- RFICDTC
- Date/Time of Informed Consent 
- RFPENDTC
- Date/Time of End of Participation 
- DTHDTC
- Date/Time of Death 
- DTHFL
- Subject Death Flag 
- SITEID
- Study Site Identifier 
- INVID
- Investigator Identifier 
- INVNAM
- Investigator Name 
- BRTHDTC
- Date/Time of Birth 
- AGE
- Age 
- AGEU
- Age Units 
- SEX
- Sex 
- RACE
- Race 
- ETHNIC
- Ethnicity 
- ARMCD
- Planned Arm Code 
- ARM
- Description of Planned Arm 
- ACTARMCD
- Actual Arm Code 
- ACTARM
- Description of Actual Arm 
- COUNTRY
- Country 
- DMDTC
- Date/Time of Collection 
- DMDY
- Study Day of Collection 
Details
Demographics for Vaccine
An example SDTM DM dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Disposition
Description
An updated SDTM DS dataset that uses the CDISC pilot project
Usage
ds
Format
A data frame with 13 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- DSSEQ
- Sequence Number 
- DSSPID
- Sponsor-Defined Identifier 
- DSTERM
- Reported Term for the Disposition Event 
- DSDECOD
- Standardized Disposition Term 
- DSCAT
- Category for Disposition Event 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- DSDTC
- Date/Time of Collection 
- DSSTDTC
- Start Date/Time of Disposition Event 
- DSSTDY
- Study Day of Start of Disposition Event 
Details
Disposition
An updated SDTM DS dataset that uses the CDISC pilot project
Author(s)
Gopi Vegesna
Source
Access the source of the Disposition dataset.
Electrocardiogram
Description
An example of standard SDTM EG dataset to be used in deriving ADEG dataset
Usage
eg
Format
A data frame with 23 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- EGSEQ
- Sequence Number 
- EGTESTCD
- ECG Test Short Name 
- EGTEST
- ECG Test Name 
- EGORRES
- Result or Finding in Original Units 
- EGORRESU
- Original Units 
- EGSTRESC
- Character Result/Finding in Std Format 
- EGSTRESN
- Numeric Result/Finding in Standard Units 
- EGSTRESU
- Standard Units 
- EGSTAT
- Completion Status 
- EGLOC
- Location of Vital Signs Measurement 
- EGBLFL
- Baseline Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- EGDTC
- Date/Time of Measurements 
- EGDY
- Study Day of Vital Signs 
- EGTPT
- Planned Time Point Number 
- EGTPTNUM
- Time Point Number 
- EGELTM
- Planned Elapsed Time from Time Point Ref 
- EGTPTREF
- Time Point Reference 
Details
Electrocardiogram
An example of standard SDTM EG dataset to be used in deriving ADEG dataset
Contains a set of 4 unique Test Short Names and Test Names:
| EGTESTCD | EGTEST | 
| ECGINT | ECG Interpretation | 
| HR | Heart Rate | 
| QT | QT Duration | 
| RR | RR Duration | 
Source
Generated dataset.
Exposure
Description
A SDTM EX dataset from the CDISC pilot project
Usage
ex
Format
A data frame with 17 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- EXSEQ
- Sequence Number 
- EXTRT
- Name of Actual Treatment 
- EXDOSE
- Dose per Administration 
- EXDOSU
- Dose Units 
- EXDOSFRM
- Dose Form 
- EXDOSFRQ
- Dosing Frequency per Interval 
- EXROUTE
- Route of Administration 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- EXSTDTC
- Start Date/Time of Treatment 
- EXENDTC
- End Date/Time of Treatment 
- EXSTDY
- Study Day of Start of Treatment 
- EXENDY
- Study Day of End of Treatment 
Details
Exposure
A SDTM EX dataset from the CDISC pilot project
Source
Access the source of the Exposure dataset.
Exposure for Ophthalmology
Description
An example Exposure SDTM dataset with ophthalmology-specific variables such as EXLOC and EXLAT
Usage
ex_ophtha
Format
A data frame with 19 columns:
- USUBJID
- Unique Subject Identifier 
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- EXSEQ
- Sequence Number 
- EXTRT
- Name of Actual Treatment 
- EXDOSE
- Dose per Administration 
- EXDOSU
- Dose Units 
- EXDOSFRM
- Dose Form 
- EXDOSFRQ
- Dose Frequency per Interval 
- EXROUTE
- Route of Administration 
- EXLOC
- Location of Dose Administration 
- EXLAT
- Laterality 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- EXSTDTC
- Start Date/Time of Treatment 
- EXENDTC
- End Date/Time of Treatment 
- EXSTDY
- Study Day of Start of Treatment 
- EXENDY
- Study Day of End of Treatment 
Details
Exposure for Ophthalmology
An example Exposure SDTM dataset with ophthalmology-specific variables such as EXLOC and EXLAT
Source
Constructed using ex from the pharmaversesdtm package
Exposures for Vaccine
Description
An example SDTM EX dataset for vaccine studies
Usage
ex_vaccine
Format
A data frame with 19 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- EXSEQ
- Sequence Number 
- EXLNKGRP
- Link Group ID 
- EXLNKID
- Link ID 
- EXTRT
- Name of Actual Treatment 
- EXCAT
- Category of Treatment 
- EXDOSE
- Dose per Administration 
- EXDOSU
- Dose Units 
- EXDOSFRM
- Dose Form 
- EXROUTE
- Route of Administration 
- EXLOC
- Location of Dose Administration 
- EXLAT
- Laterality 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- EPOCH
- Epoch 
- EXSTDTC
- Start Date/Time of Treatment 
- EXENDTC
- End Date/Time of Treatment 
Details
Exposures for Vaccine
An example SDTM EX dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Findings About Clinical Events for Vaccine
Description
An example SDTM FACE for vaccine studies
Usage
face_vaccine
Format
A data frame with 30 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- FASEQ
- Sequence Number 
- FALNKGRP
- Link Group ID 
- FALAT
- Laterality 
- FALNKID
- Link ID 
- FALOC
- Location of the Finding About 
- FATESTCD
- Findings About Test Short Name 
- FATEST
- Findings About Test Name 
- FAOBJ
- Object of the Observation 
- FACAT
- Category for Findings About 
- FASCAT
- Subcategory for Findings About 
- FAEVAL
- Evaluator 
- FAORRES
- Result or Finding in Original Units 
- FAORRESU
- Original Units 
- EPOCH
- Epoch 
- FADTC
- Date/Time of Collection 
- FADY
- Study Day of Collection 
- FATPT
- Planned Time Point Name 
- FATPTNUM
- Planned Time Point Number 
- FATPTREF
- Time Point Reference 
- FARFTDTC
- Date/Time of Reference Time Point 
- FAEVLINT
- Evaluation Interval 
- FAEVINTX
- Evaluation Interval Text 
- FASTAT
- Completion Status 
- FAREASND
- Reason Not Performed 
- FASTRESC
- Character Result/Finding in Std Format 
- FASTRESN
- Numeric Result/Finding in Standard Units 
- FASTRESU
- Standard Units 
Details
Findings About Clinical Events for Vaccine
An example SDTM FACE for vaccine studies
Contains a set of 3 unique Test Short Names and Test Names:
| FATESTCD | FATEST | 
| DIAMETER | Diameter | 
| OCCUR | Occurrence Indicator | 
| SEV | Severity/Intensity | 
Source
Constructed by admiralvaccine developers
An example function as expected by the get_terms_fun parameter of
admiral::create_query_data()
Description
An example function as expected by the get_terms_fun parameter of
admiral::create_query_data()
Usage
get_terms(basket_select, version, keep_id, temp_env)
Arguments
| basket_select | A basket_select object defining the terms | 
| version | MedDRA version | 
| keep_id | Should  | 
| temp_env | Temporary environment | 
Immunogenicity Specimen Assessments for Vaccine
Description
An example SDTM IS for vaccine studies
Usage
is_vaccine
Format
A data frame with 24 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- ISSEQ
- Sequence Number 
- ISTESTCD
- Immunogenicity Test/Exam Short Name 
- ISTEST
- Immunogenicity Test or Exam Name 
- ISCAT
- Category for Immunogenicity Test 
- ISORRES
- Result or Finding in Original Units 
- ISORRESU
- Original Units 
- ISSTRESC
- Character Result/Finding in Std Format 
- ISSTRESN
- Numeric Result/Finding in Standard Units 
- ISSTRESU
- Standard Units 
- ISSTAT
- Completion Status 
- ISREASND
- Reason Not Done 
- ISNAM
- Vendor Name 
- ISSPEC
- Specimen Type 
- ISMETHOD
- Method of Test or Examination 
- ISBLFL
- Baseline Flag 
- ISLLOQ
- Lower Limit of Quantitation 
- VISITNUM
- Visit Number 
- EPOCH
- Epoch 
- ISDTC
- Date/Time of Collection 
- ISDY
- Study Day of Collection 
- ISULOQ
- Upper Limit of Quantitation 
Details
Immunogenicity Specimen Assessments for Vaccine
An example SDTM IS for vaccine studies
Contains a set of 4 unique Test Short Names and Test Names:
| ISTESTCD | ISTEST | 
| I0019NT | I0019NT Antibody | 
| J0033VN | J0033VN Antibody | 
| M0019LN | M0019LN Antibody | 
| R0003MA | R0003MA Antibody | 
Source
Constructed by admiralvaccine developers
Laboratory Measurements
Description
An updated SDTM LB dataset that uses data from the CDISC pilot project
Usage
lb
Format
A data frame with 23 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- LBSEQ
- Sequence Number 
- LBTESTCD
- Lab Test or Examination Short Name 
- LBTEST
- Lab Test or Examination Name 
- LBCAT
- Category for Lab Test 
- LBORRES
- Result or Finding in Original Units 
- LBORRESU
- Original Units 
- LBORNRLO
- Reference Range Lower Limit in Orig Unit 
- LBORNRHI
- Reference Range Upper Limit in Orig Unit 
- LBSTRESC
- Character Result/Finding in Std Format 
- LBSTRESN
- Numeric Result/Finding in Standard Units 
- LBSTRESU
- Standard Units 
- LBSTNRLO
- Reference Range Lower Limit-Std Units 
- LBSTNRHI
- Reference Range Upper Limit-Std Units 
- LBNRIND
- Reference Range Indicator 
- LBBLFL
- Baseline Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- LBDTC
- Date/Time of Specimen Collection 
- LBDY
- Study Day of Specimen Collection 
Details
Laboratory Measurements
An updated SDTM LB dataset that uses data from the CDISC pilot project
Contains a set of 47 unique Test Short Names and Test Names:
| LBTESTCD | LBTEST | 
| ALB | Albumin | 
| ALP | Alkaline Phosphatase | 
| ALT | Alanine Aminotransferase | 
| ANISO | Anisocytes | 
| AST | Aspartate Aminotransferase | 
| BASO | Basophils | 
| BASOLE | Basophils/Leukocytes | 
| BILI | Bilirubin | 
| BUN | Blood Urea Nitrogen | 
| CA | Calcium | 
| CHOL | Cholesterol | 
| CK | Creatine Kinase | 
| CL | Chloride | 
| COLOR | Color | 
| CREAT | Creatinine | 
| EOS | Eosinophils | 
| EOSLE | Eosinophils/Leukocytes | 
| GGT | Gamma Glutamyl Transferase | 
| GLUC | Glucose | 
| HBA1C | Hemoglobin A1C | 
| HCT | Hematocrit | 
| HGB | Hemoglobin | 
| K | Potassium | 
| KETONES | Ketones | 
| LYM | Lymphocytes | 
| LYMLE | Lymphocytes/Leukocytes | 
| MACROCY | Macrocytes | 
| MCH | Ery. Mean Corpuscular Hemoglobin | 
| MCHC | Ery. Mean Corpuscular HGB Concentration | 
| MCV | Ery. Mean Corpuscular Volume | 
| MICROCY | Microcytes | 
| MONO | Monocytes | 
| MONOLE | Monocytes/Leukocytes | 
| PH | pH | 
| PHOS | Phosphate | 
| PLAT | Platelet | 
| POIKILO | Poikilocytes | 
| POLYCHR | Polychromasia | 
| PROT | Protein | 
| RBC | Erythrocytes | 
| SODIUM | Sodium | 
| SPGRAV | Specific Gravity | 
| TSH | Thyrotropin | 
| URATE | Urate | 
| UROBIL | Urobilinogen | 
| VITB12 | Vitamin B12 | 
| WBC | Leukocytes | 
Author(s)
Annie Yang
Source
Access the source of the Laboratory Measurements dataset.
Laboratory Measurements Dataset-metabolic
Description
A SDTM LB dataset containing relevant laboratory measurements for metabolic studies
Usage
lb_metabolic
Format
A data frame with 24 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- LBSEQ
- Sequence Number 
- LBTESTCD
- Lab Test or Examination Short Name 
- LBTEST
- Lab Test or Examination Name 
- LBCAT
- Category for Lab Test 
- LBORRES
- Result or Finding in Original Units 
- LBORRESU
- Original Units 
- LBORNRLO
- Reference Range Lower Limit in Orig Unit 
- LBORNRHI
- Reference Range Upper Limit in Orig Unit 
- LBSTRESC
- Character Result/Finding in Std Format 
- LBSTRESN
- Numeric Result/Finding in Standard Units 
- LBSTRESU
- Standard Units 
- LBSTNRLO
- Reference Range Lower Limit-Std Units 
- LBSTNRHI
- Reference Range Upper Limit-Std Units 
- LBNRIND
- Reference Range Indicator 
- LBBLFL
- Baseline Flag 
- LBFAST
- Fasting Status 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- LBDTC
- Date/Time of Specimen Collection 
- LBDY
- Study Day of Specimen Collection 
Details
Laboratory Measurements Dataset-metabolic
A SDTM LB dataset containing relevant laboratory measurements for metabolic studies
Contains a set of 9 unique Test Short Names and Test Names:
| LBTESTCD | LBTEST | 
| ALB | Albumin | 
| ALP | Alkaline Phosphatase | 
| AST | Aspartate Aminotransferase | 
| CHOL | Cholesterol | 
| GGT | Gamma Glutamyl Transferase | 
| GLUC | Glucose | 
| HBA1CHGB | Hemoglobin A1C/Hemoglobin | 
| INSULIN | Insulin | 
| TRIG | Triglycerides | 
Source
Constructed by admiralmetabolic developers
Medical History
Description
An updated SDTM MH dataset that uses data from the CDISC pilot project
Usage
mh
Format
A data frame with 28 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- MHSEQ
- Sequence Number 
- MHSPID
- Sponsor-Defined Identifier 
- MHTERM
- Reported Term for the Medical History 
- MHLLT
- Lowest Level Term 
- MHDECOD
- Dictionary-Derived Term 
- MHHLT
- High Level Term 
- MHHLGT
- High Level Group Term 
- MHCAT
- Category for Medical History 
- MHBODSYS
- Body System or Organ Class 
- MHSEV
- Severity/Intensity 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- MHDTC
- Date/Time of History Collection 
- MHSTDTC
- Start Date/Time of Medical History Event 
- MHDY
- Study Day of History Collection 
- MHENDTC
- End Date/Time of Medical History Event 
- MHPRESP
- Medical History Event Pre-Specified 
- MHOCCUR
- Medical History Occurrence 
- MHSTRTPT
- Start Relative to Reference Time Point 
- MHENRTPT
- End Relative to Reference Time Point 
- MHSTTPT
- Start Reference Time Point 
- MHENTPT
- End Reference Time Point 
- MHENRF
- End Relative to Reference Period 
- MHSTAT
- Completion Status 
Details
Medical History
An updated SDTM MH dataset that uses data from the CDISC pilot project
Author(s)
Annie Yang
Source
Access the source of the Medical History dataset.
Ophthalmic Examinations for Ophthalmology
Description
A SDTM OE dataset simulated by Ophthalmology team
Usage
oe_ophtha
Format
A data frame with 25 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- OESEQ
- Sequence Number 
- OECAT
- Category for Ophthalmic Test or Exam 
- OESCAT
- Subcategory for Ophthalmic Test or Exam 
- OEDTC
- Date/Time of Collection 
- VISIT
- Visit Name 
- VISITNUM
- Visit Number 
- VISITDY
- Planned Study Day of Visit 
- OESTRESN
- Numeric Result/Finding in Standard Units 
- OESTRESC
- Character Result/Finding in Std Format 
- OEORRES
- Result or Finding in Original Units 
- OETEST
- Name of Ophthalmic Test or Examination 
- OETESTCD
- Short Name of Ophthalmic Test or Exam 
- OETSTDTL
- Ophthalmic Test or Exam Detail 
- OELAT
- Laterality 
- OELOC
- Location Used for the Measurement 
- OEDY
- Study Day of Visit/Collection/Exam 
- OEMETHOD
- Method of Test or Examination 
- OEORRESU
- Original Units 
- OESTRESU
- Standard Units 
- OESTAT
- Completion Status 
- OETPT
- Planned Time Point Name 
- OETPTNUM
- Planned Time Point Number 
Details
Ophthalmic Examinations for Ophthalmology
A SDTM OE dataset simulated by Ophthalmology team
Contains a set of 4 unique Test Short Names and Test Names:
| OETESTCD | OETEST | 
| CSUBTH | Center Subfield Thickness | 
| DRSSR | Diabetic Retinopathy Sev Recode Value | 
| IOP | Intraocular Pressure | 
| VACSCORE | Visual Acuity Score | 
Author(s)
Gordon Miller
Source
Generated dataset.
Pharmacokinetic Concentrations
Description
A SDTM PC dataset simulated by Antonio Rodriguez Contesti
Usage
pc
Format
A data frame with 20 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- PCSEQ
- Sequence Number 
- PCTESTCD
- Pharmacokinetic Test Short Name 
- PCTEST
- Pharmacokinetic Test Name 
- PCORRES
- Result or Finding in Original Units 
- PCORRESU
- Original Units 
- PCSTRESC
- Character Result/Finding in Std Format 
- PCSTRESN
- Numeric Result/Finding in Standard Units 
- PCSTRESU
- Standard Units 
- PCNAM
- Vendor Name 
- PCSPEC
- Specimen Material Type 
- PCLLOQ
- Lower Limit of Quantitation 
- VISIT
- Visit Name 
- VISITNUM
- Visit Number 
- PCDTC
- Date/Time of Specimen Collection 
- PCDY
- Actual Study Day of Specimen Collection 
- PCTPT
- Planned Time Point Name 
- PCTPTNUM
- Planned Time Point Number 
Details
Pharmacokinetic Concentrations
A SDTM PC dataset simulated by Antonio Rodriguez Contesti
Contains a set of 1 unique Test Short Name and Test Name:
| PCTESTCD | PCTEST | 
| XAN | XANOMELINE | 
Author(s)
Antonio Rodriguez Contesti
Source
Access the source of the Pharmacokinetic Concentrations dataset.
Pharmacokinetic Parameters
Description
A SDTM PP dataset simulated by Antonio Rodriguez Contesti
Usage
pp
Format
A data frame with 14 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- PPSEQ
- Sequence Number 
- PPTESTCD
- Parameter Short Name 
- PPTEST
- Parameter Name 
- PPCAT
- Parameter Category 
- PPORRES
- Result or Finding in Original Units 
- PPORRESU
- Original Units 
- PPSTRESC
- Character Result/Finding in Std Format 
- PPSTRESN
- Numeric Result/Finding in Standard Units 
- PPSTRESU
- Standard Units 
- PPSPEC
- Specimen Material Type 
- PPRFDTC
- Date/Time of Reference Point 
Details
Pharmacokinetic Parameters
A SDTM PP dataset simulated by Antonio Rodriguez Contesti
Contains a set of 10 unique Test Short Names and Test Names:
| PPTESTCD | PPTEST | 
| AUCALL | AUC All | 
| AUCLST | AUC to Last Nonzero Conc | 
| CLST | Last Nonzero Conc | 
| CMAX | Max Conc | 
| LAMZ | Lambda z | 
| LAMZHL | Half-Life Lambda z | 
| LAMZNPT | Number of Points for Lambda z | 
| RCAMINT | Ae | 
| RENALCL | CLR | 
| TMAX | Time of CMAX | 
Author(s)
Antonio Rodriguez Contesti
Source
Access the source of the Pharmacokinetic Parameters dataset.
Questionnaire Dataset-metabolic
Description
A SDTM QS dataset containing COEQ data (Control of Eating Questionnaire) for metabolic studies. Note that University of Leeds are the copyright holders of the Control of Eating Questionnaire (CoEQ) and the test data included within pharmaversesdtm as well as the ADCOEQ code are for not-for-profit use only within admiralmetabolic and pharmaverse-related examples/documentation. Any persons or companies wanting to use the CoEQ should request a license to do so from the following link.
Usage
qs_metabolic
Format
A data frame with 18 columns:
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- DOMAIN
- Domain Abbreviation 
- VISIT
- Visit Name 
- VISITNUM
- Visit Number 
- VISITDY
- Planned Study Day of Visit 
- QSBLFL
- Baseline Flag 
- QSDTC
- Date/Time of Finding 
- QSDY
- Study Day of Finding 
- QSCAT
- Category for Questionnaire 
- QSTEST
- Questionnaire Test Name 
- QSTESTCD
- Questionnaire Test Short Name 
- QSORRES
- Result or Finding in Original Units 
- QSORRESU
- Original Units 
- QSSTRESC
- Character Result/Finding in Std Format 
- QSSTRESN
- Numeric Result/Finding in Standard Units 
- QSSTRESU
- Standard Units 
- QSSEQ
- Sequence Number 
Details
Questionnaire Dataset-metabolic
A SDTM QS dataset containing COEQ data (Control of Eating Questionnaire) for metabolic studies. Note that University of Leeds are the copyright holders of the Control of Eating Questionnaire (CoEQ) and the test data included within pharmaversesdtm as well as the ADCOEQ code are for not-for-profit use only within admiralmetabolic and pharmaverse-related examples/documentation. Any persons or companies wanting to use the CoEQ should request a license to do so from the following link.
Contains a set of 21 unique Test Short Names and Test Names:
| QSTESTCD | QSTEST | 
| COEQ01 | How hungry have you felt? | 
| COEQ02 | How full have you felt? | 
| COEQ03 | How strong was your desire to eat sweet foods? | 
| COEQ04 | How strong was your desire to eat savoury foods? | 
| COEQ05 | How happy have you felt? | 
| COEQ06 | How anxious have you felt? | 
| COEQ07 | How alert have you felt? | 
| COEQ08 | How contented have you felt? | 
| COEQ09 | During the last 7 days how often have you had food cravings? | 
| COEQ10 | How strong have any food cravings been? | 
| COEQ11 | How difficult has it been to resist any food cravings? | 
| COEQ12 | How often have you eaten in response to food cravings? | 
| COEQ13 | Chocolate or chocolate flavoured foods | 
| COEQ14 | Other sweet foods (cakes, pastries, biscuits, etc) | 
| COEQ15 | Fruit or fruit juice | 
| COEQ16 | Dairy foods (cheese, yoghurts, milk, etc) | 
| COEQ17 | Starchy foods (bread, rice, pasta, etc) | 
| COEQ18 | Savoury foods (french fries, crisps, burgers, pizza, etc) | 
| COEQ19 | Generally, how difficult has it been to control your eating? | 
| COEQ20 | Which one food makes it most difficult for you to control eating? | 
| COEQ21 | How difficult has it been to resist eating this food during the last 7 days? | 
Source
Constructed by admiralmetabolic developers
Questionnaire for Ophthalmology
Description
An example Questionnaires SDTM dataset with ophthalmology-specific questionnaire of NEI VFQ-25
Usage
qs_ophtha
Format
A data frame with 20 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- QSSEQ
- Sequence Number 
- QSTESTCD
- Question Short Name 
- QSTEST
- Question Name 
- QSCAT
- Category of Question 
- QSSCAT
- Subcategory for Question 
- QSORRES
- Finding in Original Units 
- QSORRESU
- Original Units 
- QSSTRESC
- Character Result/Finding in Std Format 
- QSSTRESN
- Numeric Finding in Standard Units 
- QSSTRESU
- Standard Units 
- QSBLFL
- Baseline Flag 
- QSDRVFL
- Derived Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- QSDTC
- Date/Time of Finding 
- QSDY
- Study Day of Finding 
Details
Questionnaire for Ophthalmology
An example Questionnaires SDTM dataset with ophthalmology-specific questionnaire of NEI VFQ-25
Contains a set of 29 unique Test Short Names and Test Names:
| QSTESTCD | QSTEST | 
| VFQ1 | Your Overall Health Is | 
| VFQ10 | Difficulty Noticing Objects to Side | 
| VFQ11 | Difficulty Seeing How People React | 
| VFQ12 | Difficulty Picking Out Own Clothes | 
| VFQ13 | Difficulty Visiting With People | 
| VFQ14 | Difficulty Going Out to See Movies | 
| VFQ15 | Are You Currently Driving | 
| VFQ16 | Difficulty Driving During Daytime | 
| VFQ17 | Difficulty Driving at Night | 
| VFQ18 | Driving in Difficult Conditions | 
| VFQ19 | Eye Pain Keep You From Doing What You Like | 
| VFQ2 | Eyesight Using Both Eyes Is | 
| VFQ20 | I Stay Home Most of the Time | 
| VFQ21 | I Feel Frustrated a Lot of the Time | 
| VFQ22 | I Need a Lot of Help From Others | 
| VFQ23 | Worry I'll Do Embarrassing Things | 
| VFQ24 | Difficulty Reading Small Print | 
| VFQ25 | Difficulty Figure Out Bill Accuracy | 
| VFQ26 | Difficulty Shaving or Styling Hair | 
| VFQ27 | Difficulty Recognizing People | 
| VFQ28 | Difficulty Taking Part in Sports | 
| VFQ29 | Difficulty Seeing Programs on TV | 
| VFQ3 | How Often You Worry About Eyesight | 
| VFQ4 | How Often Pain in and Around Eyes | 
| VFQ5 | Difficulty Reading Newspapers | 
| VFQ6 | Difficulty Doing Work/Hobbies | 
| VFQ7 | Difficulty Finding on Crowded Shelf | 
| VFQ8 | Difficulty Reading Street Signs | 
| VFQ9 | Difficulty Going Down Step at Night | 
Source
Constructed using qs from the pharmaversesdtm package
Disease Response for Oncology
Description
A SDTM RS dataset simulated by Gopi Vegesna
Usage
rs_onco
Format
A data frame with 19 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- RSSEQ
- Sequence Number 
- RSLNKGRP
- Link Group 
- RSTESTCD
- Response Assessment Short Name 
- RSTEST
- Response Assessment Name 
- RSCAT
- Category for Response Assessment 
- RSORRES
- Response Assessment Original Result 
- RSSTRESC
- Response Assessment Result in Std Format 
- RSSTAT
- Completion Status 
- RSREASND
- Reason Response Assessment Not Performed 
- RSEVAL
- Evaluator 
- RSEVALID
- Evaluator Identifier 
- RSACPTFL
- Accepted Record Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSDTC
- Date/Time of Response Assessment 
- RSDY
- Study Day of Response Assessment 
Details
Disease Response for Oncology
A SDTM RS dataset simulated by Gopi Vegesna
Contains a set of 4 unique Test Short Names and Test Names:
| RSTESTCD | RSTEST | 
| NEWLPROG | New Lesion Progression | 
| NTRGRESP | Non-target Response | 
| OVRLRESP | Overall Response | 
| TRGRESP | Target Response | 
Author(s)
Gopi Vegesna
Source
Access the source of the Disease Response for Oncology dataset.
Disease Response (GCIG)
Description
A SDTM RS dataset using GCIG criteria. The dataset contains just a few patients. It is intended for vignettes and examples of ADaM dataset creation.
Usage
rs_onco_ca125
Format
A data frame with 13 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- RSSEQ
- Sequence Number 
- RSTESTCD
- Assessment Short Name 
- RSTEST
- Assessment Name 
- RSCAT
- Category for Assessment 
- RSORRES
- Result or Finding in Original Units 
- RSSTRESC
- Character Result/Finding in Std Format 
- RSEVAL
- Evaluator 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSDTC
- Date/Time of Assessment 
Details
Disease Response (GCIG)
A SDTM RS dataset using GCIG criteria. The dataset contains just a few patients. It is intended for vignettes and examples of ADaM dataset creation.
Contains a set of 1 unique Test Short Name and Test Name:
| RSTESTCD | RSTEST | 
| OVRLRESP | Overall Response | 
Author(s)
Vinh Nguyen
Source
Generated dataset (rs_supprs_onco_ca125.R)
Disease Response (IMWG)
Description
A SDTM RS dataset using IMWG criteria intended for examples of ADaM dataset creation
Usage
rs_onco_imwg
Format
A data frame with 17 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- RSSEQ
- Sequence Number 
- RSLNKGRP
- Link Group ID 
- RSTESTCD
- Assessment Short Name 
- RSTEST
- Assessment Name 
- RSCAT
- Category for Assessment 
- RSORRES
- Result or Finding in Original Units 
- RSSTRESC
- Character Result/Finding in Std Format 
- RSSTAT
- Completion Status 
- RSREASND
- Reason Not Done 
- RSEVAL
- Evaluator 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSDTC
- Date/Time of Assessment 
- RSDY
- Study Day of Assessment 
Details
Disease Response (IMWG)
A SDTM RS dataset using IMWG criteria intended for examples of ADaM dataset creation
Contains a set of 1 unique Test Short Name and Test Name:
| RSTESTCD | RSTEST | 
| OVRLRESP | Overall Response | 
Author(s)
Vinh Nguyen
Source
Derived from tr_onco_recist
Disease Response (iRECIST) for Oncology
Description
A SDTM RS dataset using iRECIST intended for examples of ADaM dataset creation
Usage
rs_onco_irecist
Format
A data frame with 19 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- RSSEQ
- Sequence Number 
- RSLNKGRP
- Link Group ID 
- RSTESTCD
- Assessment Short Name 
- RSTEST
- Assessment Name 
- RSCAT
- Category for Assessment 
- RSORRES
- Result or Finding in Original Units 
- RSSTRESC
- Character Result/Finding in Std Format 
- RSSTAT
- Completion Status 
- RSREASND
- Reason Not Done 
- RSEVAL
- Evaluator 
- RSEVALID
- Evaluator Identifier 
- RSACPTFL
- Accepted Record Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSDTC
- Date/Time of Assessment 
- RSDY
- Study Day of Assessment 
Details
Disease Response (iRECIST) for Oncology
A SDTM RS dataset using iRECIST intended for examples of ADaM dataset creation
Contains a set of 6 unique Test Short Names and Test Names:
| RSTESTCD | RSTEST | 
| IRECLIND | Last iRECIST Assessment Indicator | 
| NEWLIND | New Lesion Indicator | 
| NEWLPROG | New Lesion Progression | 
| NTRGRESP | Non-target Response | 
| OVRLRESP | Overall Response | 
| TRGRESP | Target Response | 
Author(s)
Rohan Thampi
Source
Generated dataset.
Disease Response (PCWG3) for Oncology
Description
A SDTM RS dataset for oncology studies using PCWG3 criteria intended for examples of ADaM dataset creation
Usage
rs_onco_pcwg3
Format
A data frame with 14 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- RSSEQ
- Sequence Number 
- RSTESTCD
- Response Assessment Short Name 
- RSTEST
- Response Assessment Name 
- RSCAT
- Category for Response Assessment 
- RSORRES
- Response Assessment Original Result 
- RSSTRESC
- Response Assessment Result in Std Format 
- RSEVAL
- Evaluator 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSDTC
- Date/Time of Response Assessment 
- RSDY
- Study Day of Response Assessment 
Details
Disease Response (PCWG3) for Oncology
A SDTM RS dataset for oncology studies using PCWG3 criteria intended for examples of ADaM dataset creation
Contains a set of 4 unique Test Short Names and Test Names:
| RSTESTCD | RSTEST | 
| BONERESP | Bone Response | 
| OVRLRESP | Overall Response | 
| SFTSRESP | Soft Tissue Response | 
| TMRESP | Tumor Marker Response | 
Author(s)
Tomoyuki Namai
Source
Generated dataset
Disease Response (RECIST 1.1) for Oncology
Description
A SDTM RS dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Usage
rs_onco_recist
Format
A data frame with 14 columns:
- DOMAIN
- Domain Abbreviation 
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- RSTESTCD
- Assessment Short Name 
- RSTEST
- Assessment Name 
- RSORRES
- Result or Finding in Original Units 
- RSSTRESC
- Character Result/Finding in Std Format 
- RSEVAL
- Evaluator 
- RSEVALID
- Evaluator Identifier 
- RSACPTFL
- Accepted Record Flag 
- RSDTC
- Date/Time of Assessment 
- RSSEQ
- Sequence Number 
Details
Disease Response (RECIST 1.1) for Oncology
A SDTM RS dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Contains a set of 1 unique Test Short Name and Test Name:
| RSTESTCD | RSTEST | 
| OVRLRESP | Overall Response | 
Author(s)
Stefan Bundfuss
Source
Generated dataset.
Subject Characteristic for Ophthalmology
Description
A SDTM SC dataset simulated by Ophthalmology team
Usage
sc_ophtha
Format
A data frame with 12 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- SCSEQ
- Sequence Number 
- SCTESTCD
- Subject Characteristic Short Name 
- SCTEST
- Subject Characteristic 
- SCCAT
- Category for Subject Characteristic 
- SCORRES
- Result or Finding in Original Units 
- SCSTRESC
- Character Result/Finding in Std Format 
- EPOCH
- Epoch 
- SCDTC
- Date/Time of Collection 
- SCDY
- Study Day of Examination 
Details
Subject Characteristic for Ophthalmology
A SDTM SC dataset simulated by Ophthalmology team
Contains a set of 1 unique Test Short Name and Test Name:
| SCTESTCD | SCTEST | 
| FOCID | Focus of Study-Specific Interest | 
Author(s)
Gordon Miller
Source
Generated dataset.
SDG
Description
An example SDG dataset
Usage
sdg_db
Format
A data frame with 5 columns:
- termchar
- Reported Term 
- sdg_name
- Name 
- sdg_id
- Name ID 
- termvar
- Variable 
- version
- Version 
Details
SDG
An example SDG dataset
Source
Access the source of the SDG dataset.
Standardized MedDRA Queries
Description
An example SMQ dataset
Usage
smq_db
Format
A data frame with 6 columns:
- termchar
- Reported Term 
- scope
- Scope 
- smq_name
- Name 
- smq_id
- Name ID 
- version
- Version 
- termvar
- Variable 
Details
Standardized MedDRA Queries
An example SMQ dataset
Source
Generated dataset.
Supplemental Adverse Events
Description
A SDTM SUPPAE dataset from the CDISC pilot project
Usage
suppae
Format
A data frame with 10 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
- QEVAL
- Evaluator 
Details
Supplemental Adverse Events
A SDTM SUPPAE dataset from the CDISC pilot project
Source
Access the source of the Supplemental Adverse Events dataset.
Supplemental Qualifiers for Clinical Events for Vaccine
Description
An example SDTM SUPPCE for vaccine studies
Usage
suppce_vaccine
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QVAL
- Data Value 
- QLABEL
- Qualifier Variable Label 
- QORIG
- Origin 
Details
Supplemental Qualifiers for Clinical Events for Vaccine
An example SDTM SUPPCE for vaccine studies
Source
Constructed by admiralvaccine developers
Supplemental Demography
Description
A SDTM SUPPDM dataset from the CDISC pilot project
Usage
suppdm
Format
A data frame with 10 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
- QEVAL
- Evaluator 
Details
Supplemental Demography
A SDTM SUPPDM dataset from the CDISC pilot project
Source
Generated dataset.
Supplemental Qualifiers for Demographics for Vaccine
Description
An example SDTM SUPPDM dataset for vaccine studies
Usage
suppdm_vaccine
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QVAL
- Data Value 
- QLABEL
- Qualifier Variable Label 
- QORIG
- Origin 
Details
Supplemental Qualifiers for Demographics for Vaccine
An example SDTM SUPPDM dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Supplemental Disposition
Description
A SDTM SUPPDS dataset from the CDISC pilot project
Usage
suppds
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
Details
Supplemental Disposition
A SDTM SUPPDS dataset from the CDISC pilot project
Source
Access the source of the Supplemental Disposition dataset.
Supplemental Qualifiers for Exposures for Vaccine
Description
An example SDTM SUPPEX dataset for vaccine studies
Usage
suppex_vaccine
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QVAL
- Data Value 
- QLABEL
- Qualifier Variable Label 
- QORIG
- Origin 
Details
Supplemental Qualifiers for Exposures for Vaccine
An example SDTM SUPPEX dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Supplemental Qualifiers for Findings About for Clinical Events for Vaccine
Description
An example SDTM SUPPFACE dataset for vaccine studies
Usage
suppface_vaccine
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QVAL
- Data Value 
- QLABEL
- Qualifier Variable Label 
- QORIG
- Origin 
Details
Supplemental Qualifiers for Findings About for Clinical Events for Vaccine
An example SDTM SUPPFACE dataset for vaccine studies
Source
Constructed by admiralvaccine developers
Supplemental Qualifiers for Immunogenicity Specimen Assessments for Vaccine
Description
An example SDTM SUPPIS dataset for vaccine studies
Usage
suppis_vaccine
Format
A data frame with 10 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
- QEVAL
- Evaluator 
Details
Supplemental Qualifiers for Immunogenicity Specimen Assessments for Vaccine
An example SDTM SUPPIS dataset for vaccine studies
Source
Constructed by admiralpeds developers
Supplemental Qualifiers for RS_ONCO_CA125
Description
A SDTM supplemental RS dataset using GCIG criteria. It is intended to be used together with rs_onco_ca125.
Usage
supprs_onco_ca125
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
Details
Supplemental Qualifiers for RS_ONCO_CA125
A SDTM supplemental RS dataset using GCIG criteria. It is intended to be used together with rs_onco_ca125.
Author(s)
Vinh Nguyen
Source
Generated dataset (rs_supprs_onco_ca125.R)
Supplemental Qualifiers for RS_ONCO_IMWG
Description
A SDTM supplemental RS dataset using IMWG criteria intended to be used with rs_onco_imwg
Usage
supprs_onco_imwg
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
Details
Supplemental Qualifiers for RS_ONCO_IMWG
A SDTM supplemental RS dataset using IMWG criteria intended to be used with rs_onco_imwg
Author(s)
Vinh Nguyen
Source
Access the source of the Supplemental Qualifiers for RS_ONCO_IMWG dataset.
Supplemental Tumor Results for Oncology
Description
A SDTM SUPPTR dataset simulated by Gopi Vegesna
Usage
supptr_onco
Format
A data frame with 9 columns:
- STUDYID
- Study Identifier 
- RDOMAIN
- Related Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- IDVAR
- Identifying Variable 
- IDVARVAL
- Identifying Variable Value 
- QNAM
- Qualifier Variable Name 
- QLABEL
- Qualifier Variable Label 
- QVAL
- Data Value 
- QORIG
- Origin 
Details
Supplemental Tumor Results for Oncology
A SDTM SUPPTR dataset simulated by Gopi Vegesna
Author(s)
Gopi Vegesna
Source
Access the source of the Supplemental Tumor Results for Oncology dataset.
Subject Visits
Description
A SDTM SV dataset from the CDISC pilot project with corrected duplicate observation
Usage
sv
Format
A data frame with 8 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- SVSTDTC
- Start Date/Time of Visit 
- SVENDTC
- End Date/Time of Visit 
Details
Subject Visits
A SDTM SV dataset from the CDISC pilot project with corrected duplicate observation
Source
Constructed by admiralvaccine developers
Tumor Results for Oncology
Description
A SDTM TR dataset simulated by Gopi Vegesna
Usage
tr_onco
Format
A data frame with 24 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- TRSEQ
- Sequence Number 
- TRGRPID
- Group ID 
- TRLNKGRP
- Link Group 
- TRLNKID
- Link ID 
- TRTESTCD
- Tumor Assessment Short Name 
- TRTEST
- Tumor Assessment Test Name 
- TRORRES
- Result or Finding in Original Units 
- TRORRESU
- Original Units 
- TRSTRESC
- Character Result/Finding in Std Format 
- TRSTRESN
- Numeric Result/Finding in Standard Units 
- TRSTRESU
- Standard Units 
- TRSTAT
- Completion Status 
- TRREASND
- Reason Tumor Measurement Not Performed 
- TRMETHOD
- Method used to Identify the Tumor 
- TREVAL
- Evaluator 
- TREVALID
- Evaluator Identifier 
- TRACPTFL
- Accepted Record Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- TRDTC
- Date/Time of Tumor Measurement 
- TRDY
- Study Day of Tumor Measurement 
Details
Tumor Results for Oncology
A SDTM TR dataset simulated by Gopi Vegesna
Contains a set of 5 unique Test Short Names and Test Names:
| TRTESTCD | TRTEST | 
| DIAMETER | Diameter | 
| LDIAM | Longest Diameter | 
| LPERP | Longest Perpendicular | 
| SUMDIAM | Sum of Diameter | 
| TUMSTATE | Tumor State | 
Author(s)
Gopi Vegesna
Source
Generated dataset.
Tumor Results (RECIST 1.1) for Oncology
Description
A SDTM TR dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Usage
tr_onco_recist
Format
A data frame with 19 columns:
- DOMAIN
- Domain Abbreviation 
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- TRGRPID
- Group ID 
- TRLNKID
- Link ID 
- TRTESTCD
- Tumor/Lesion Assessment Short Name 
- TRTEST
- Tumor/Lesion Assessment Test Name 
- TRORRES
- Result or Finding in Original Units 
- TRORRESU
- Original Units 
- TRSTRESC
- Character Result/Finding in Std Format 
- TRSTRESN
- Numeric Result/Finding in Standard Units 
- TRSTRESU
- Standard Units 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- TREVAL
- Evaluator 
- TREVALID
- Evaluator Identifier 
- TRACPTFL
- Accepted Record Flag 
- TRDTC
- Date/Time of Tumor/Lesion Measurement 
- TRSEQ
- Sequence Number 
Details
Tumor Results (RECIST 1.1) for Oncology
A SDTM TR dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Contains a set of 3 unique Test Short Names and Test Names:
| TRTESTCD | TRTEST | 
| LDIAM | Longest Diameter | 
| LPERP | Longest Perpendicular | 
| TUMSTATE | Tumor State | 
Author(s)
Stefan Bundfuss
Source
Generated dataset.
Trial Design
Description
A SDTM TS dataset from the CDISC pilot project
Usage
ts
Format
A data frame with 6 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- TSSEQ
- Sequence Number 
- TSPARMCD
- Trial Summary Parameter Short Name 
- TSPARM
- Trial Summary Parameter 
- TSVAL
- Parameter Value 
Details
Trial Design
A SDTM TS dataset from the CDISC pilot project
Source
Access the source of the Trial Design dataset.
Tumor Identification for Oncology
Description
A SDTM TU dataset simulated by Gopi Vegesna
Usage
tu_onco
Format
A data frame with 18 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- TUSEQ
- Sequence Number 
- TULNKID
- Link ID 
- TUTESTCD
- Tumor Identification Short Name 
- TUTEST
- Tumor Identification Test Name 
- TUORRES
- Tumor Identification Result 
- TUSTRESC
- Tumor Identification Result Std. Format 
- TULOC
- Location of the Tumor 
- TUMETHOD
- Method of Identification 
- TUEVAL
- Evaluator 
- TUEVALID
- Evaluator Identifier 
- TUACPTFL
- Accepted Record Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- TUDTC
- Date/Time of Tumor Identification 
- TUDY
- Study Day of Tumor Identification 
Details
Tumor Identification for Oncology
A SDTM TU dataset simulated by Gopi Vegesna
Contains a set of 1 unique Test Short Name and Test Name:
| TUTESTCD | TUTEST | 
| TUMIDENT | Tumor Identification | 
Author(s)
Gopi Vegesna
Source
Generated dataset.
Tumor Identification (RECIST 1.1) for Oncology
Description
A SDTM TU dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Usage
tu_onco_recist
Format
A data frame with 16 columns:
- DOMAIN
- Domain Abbreviation 
- STUDYID
- Study Identifier 
- USUBJID
- Unique Subject Identifier 
- VISIT
- Visit Name 
- VISITNUM
- Visit Number 
- TULOC
- Location of the Tumor/Lesion 
- TUTESTCD
- Tumor/Lesion ID Short Name 
- TUTEST
- Tumor/Lesion ID Test Name 
- TUORRES
- Tumor/Lesion ID Result 
- TUSTRESC
- Tumor/Lesion ID Result Std. Format 
- TUMETHOD
- Method of Identification 
- TULNKID
- Link ID 
- TUEVAL
- Evaluator 
- TUEVALID
- Evaluator Identifier 
- TUACPTFL
- Accepted Record Flag 
- TUSEQ
- Sequence Number 
Details
Tumor Identification (RECIST 1.1) for Oncology
A SDTM TU dataset using RECIST 1.1 intended for examples of ADaM dataset creation
Contains a set of 1 unique Test Short Name and Test Name:
| TUTESTCD | TUTEST | 
| TUMIDENT | Tumor Identification | 
Author(s)
Stefan Bundfuss
Source
Generated dataset.
Vital Signs
Description
A SDTM VS dataset from the CDISC pilot project
Usage
vs
Format
A data frame with 24 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- VSSEQ
- Sequence Number 
- VSTESTCD
- Vital Signs Test Short Name 
- VSTEST
- Vital Signs Test Name 
- VSPOS
- Vital Signs Position of Subject 
- VSORRES
- Result or Finding in Original Units 
- VSORRESU
- Original Units 
- VSSTRESC
- Character Result/Finding in Std Format 
- VSSTRESN
- Numeric Result/Finding in Standard Units 
- VSSTRESU
- Standard Units 
- VSSTAT
- Completion Status 
- VSLOC
- Location of Vital Signs Measurement 
- VSBLFL
- Baseline Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- VSDTC
- Date/Time of Measurements 
- VSDY
- Study Day of Vital Signs 
- VSTPT
- Planned Time Point Name 
- VSTPTNUM
- Planned Time Point Number 
- VSELTM
- Planned Elapsed Time from Time Point Ref 
- VSTPTREF
- Time Point Reference 
Details
Vital Signs
A SDTM VS dataset from the CDISC pilot project
Contains a set of 6 unique Test Short Names and Test Names:
| VSTESTCD | VSTEST | 
| DIABP | Diastolic Blood Pressure | 
| HEIGHT | Height | 
| PULSE | Pulse Rate | 
| SYSBP | Systolic Blood Pressure | 
| TEMP | Temperature | 
| WEIGHT | Weight | 
Source
Generated dataset.
Vital signs Dataset-metabolic
Description
A SDTM VS dataset for metabolic studies
Usage
vs_metabolic
Format
A data frame with 24 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- VSSEQ
- Sequence Number 
- VSTESTCD
- Vital Signs Test Short Name 
- VSTEST
- Vital Signs Test Name 
- VSPOS
- Vital Signs Position of Subject 
- VSORRES
- Result or Finding in Original Units 
- VSORRESU
- Original Units 
- VSSTRESC
- Character Result/Finding in Std Format 
- VSSTRESN
- Numeric Result/Finding in Standard Units 
- VSSTRESU
- Standard Units 
- VSSTAT
- Completion Status 
- VSLOC
- Location of Vital Signs Measurement 
- VSBLFL
- Baseline Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- VSDTC
- Date/Time of Measurements 
- VSDY
- Study Day of Vital Signs 
- VSTPT
- Planned Time Point Name 
- VSTPTNUM
- Planned Time Point Number 
- VSELTM
- Planned Elapsed Time from Time Point Ref 
- VSTPTREF
- Time Point Reference 
Details
Vital signs Dataset-metabolic
A SDTM VS dataset for metabolic studies
Contains a set of 9 unique Test Short Names and Test Names:
| VSTESTCD | VSTEST | 
| BMI | Body Mass Index | 
| DIABP | Diastolic Blood Pressure | 
| HEIGHT | Height | 
| HIPCIR | Hip Circumference | 
| PULSE | Pulse Rate | 
| SYSBP | Systolic Blood Pressure | 
| TEMP | Temperature | 
| WEIGHT | Weight | 
| WSTCIR | Waist Circumference | 
Source
Constructed by admiralmetabolic developers
Vital signs Dataset-pediatrics
Description
An updated SDTM VS dataset with anthropometric measurements for pediatric patients
Usage
vs_peds
Format
A data frame with 26 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- VSSEQ
- Sequence Number 
- VSTESTCD
- Vital Signs Test Short Name 
- VSTEST
- Vital Signs Test Name 
- VSPOS
- Vital Signs Position of Subject 
- VSORRES
- Result or Finding in Original Units 
- VSORRESU
- Original Units 
- VSSTRESC
- Character Result/Finding in Std Format 
- VSSTRESN
- Numeric Result/Finding in Standard Units 
- VSSTRESU
- Standard Units 
- VSSTAT
- Completion Status 
- VSLOC
- Location of Vital Signs Measurement 
- VSBLFL
- Baseline Flag 
- VISITNUM
- Visit Number 
- VISIT
- Visit Name 
- VISITDY
- Planned Study Day of Visit 
- VSDTC
- Date/Time of Measurements 
- VSDY
- Study Day of Vital Signs 
- VSTPT
- Planned Time Point Name 
- VSTPTNUM
- Planned Time Point Number 
- VSELTM
- Planned Elapsed Time from Time Point Ref 
- VSTPTREF
- Time Point Reference 
- VSEVAL
- Evaluator 
- EPOCH
- Epoch 
Details
Vital signs Dataset-pediatrics
An updated SDTM VS dataset with anthropometric measurements for pediatric patients
Contains a set of 4 unique Test Short Names and Test Names:
| VSTESTCD | VSTEST | 
| BMI | BMI | 
| HDCIRC | Head Circumference | 
| HEIGHT | Height | 
| WEIGHT | Weight | 
Source
Constructed by admiralpeds developers
Vital Signs for Vaccine
Description
An example SDTM VS dataset for vaccine studies
Usage
vs_vaccine
Format
A data frame with 23 columns:
- STUDYID
- Study Identifier 
- DOMAIN
- Domain Abbreviation 
- USUBJID
- Unique Subject Identifier 
- VSSEQ
- Sequence Number 
- VSLNKID
- Link ID 
- VSLNKGRP
- Link Group ID 
- VSTESTCD
- Vital Signs Test Short Name 
- VSTEST
- Vital Signs Test Name 
- VSCAT
- Category for Vital Signs 
- VSSCAT
- Subcategory for Vital Signs 
- VSORRES
- Result or Finding in Original Units 
- VSORRESU
- Original Units 
- VSSTRESC
- Character Result/Finding in Std Format 
- VSSTRESN
- Numeric Result/Finding in Standard Units 
- VSSTRESU
- Standard Units 
- VSEVAL
- Evaluator 
- VSLOC
- Location of Vital Signs Measurement 
- EPOCH
- Epoch 
- VSDTC
- Date/Time of Measurements 
- VSDY
- Study Day of Vital Signs 
- VSTPT
- Planned Time Point Name 
- VSTPTNUM
- Planned Time Point Number 
- VSTPTREF
- Time Point Reference 
Details
Vital Signs for Vaccine
An example SDTM VS dataset for vaccine studies
Contains a set of 1 unique Test Short Name and Test Name:
| VSTESTCD | VSTEST | 
| TEMP | Temperature | 
Source
Constructed by admiralvaccine developers