Matching Adjusted Indirect Comparison

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Documentation for package ‘maicplus’ version 0.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adrs_sat	Binary outcome data from single arm trial
adrs_twt	Binary outcome data from two arm trial
adsl_sat	Patient data from single arm study
adsl_twt	Patient data from two arm trial
adtte_sat	Survival data from single arm trial
adtte_twt	Survival data from two arm trial
agd	Aggregate effect modifier data from published study
basic_kmplot	Basic Kaplan Meier (KM) plot function
basic_kmplot2	Basic Kaplan Meier (KM) plot function using ggplot
bucher	Bucher method for combining treatment effects
centered_ipd_sat	Centered patient data from single arm trial
centered_ipd_twt	Centered patient data from two arm trial
center_ipd	Center individual patient data (IPD) variables using aggregate data averages
check_weights	Check to see if weights are optimized correctly
dummize_ipd	Create dummy variables from categorical variables in an individual patient data (ipd)
estimate_weights	Derive individual weights in the matching step of MAIC
find_SE_from_CI	Calculate standard error from the reported confidence interval.
get_pseudo_ipd_binary	Create pseudo IPD given aggregated binary data
get_time_as	Convert Time Values Using Scaling Factors
get_time_conversion	Get and Set Time Conversion Factors
glm_makeup	Helper function to summarize outputs from glm fit
kmplot	Kaplan Meier (KM) plot function for anchored and unanchored cases
kmplot2	Kaplan-Meier (KM) plot function for anchored and unanchored cases using ggplot
maic_anchored	Anchored MAIC for binary and time-to-event endpoint
maic_unanchored	Unanchored MAIC for binary and time-to-event endpoint
medSurv_makeup	Helper function to retrieve median survival time from a 'survival::survfit' object
ph_diagplot	Diagnosis plot of proportional hazard assumption for anchored and unanchored
ph_diagplot_lch	PH Diagnosis Plot of Log Cumulative Hazard Rate versus time or log-time
ph_diagplot_schoenfeld	PH Diagnosis Plot of Schoenfeld residuals for a Cox model fit
plot.maicplus_estimate_weights	Derive individual weights in the matching step of MAIC
plot_weights_base	Plot MAIC weights in a histogram with key statistics in legend
plot_weights_ggplot	Plot MAIC weights in a histogram with key statistics in legend using 'ggplot2'
print.maicplus_bucher	Bucher method for combining treatment effects
print.maicplus_check_weights	Check to see if weights are optimized correctly
process_agd	Pre-process aggregate data
pseudo_ipd_sat	Pseudo individual patient survival data from published study
pseudo_ipd_twt	Pseudo individual patient survival data from published two arm study
set_time_conversion	Get and Set Time Conversion Factors
survfit_makeup	Helper function to select set of variables used for Kaplan-Meier plot
weighted_sat	Weighted object for single arm trial data
weighted_twt	Weighted object for two arm trial data