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CohortMethod is part of HADES.
CohortMethod is an R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
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| Propensity (preference score) distribution | Covariate balance plot |
CohortMethod is an R package, with some functions implemented in C++.
Requires R (version 3.6.0 or higher). Installation on Windows requires RTools. Libraries used in CohortMethod require Java.
See the instructions here for configuring your R environment, including RTools and Java.
In R, use the following commands to download and install CohortMethod:
install.packages("remotes")
remotes::install_github("ohdsi/CohortMethod")connectionDetails <- createConnectionDetails(dbms="postgresql",
server="my_server.org",
user = "joe",
password = "super_secret")
checkCmInstallation(connectionDetails)Where dbms, server, user, and password need to be changed to the settings for your database environment. Type
?createConnectionDetailsfor more details on how to configure your database connection.
Documentation can be found on the package website.
PDF versions of the documentation are also available:
Read here how you can contribute to this package.
CohortMethod is licensed under Apache License 2.0
CohortMethod is being developed in R Studio.
CohortMethod is actively being used in several studies and is ready for use.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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