Package: CohortMethod
Type: Package
Title: Comparative Cohort Method with Large Scale Propensity and
        Outcome Models
Version: 6.0.3
Date: 2026-06-22
Authors@R: c(
	person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut", "cre")),
	person("Marc", "Suchard", role = c("aut")),
	person("Patrick", "Ryan", role = c("aut"))
	)
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Functions for performing comparative cohort studies in an
        observational database in the Observational Medical Outcomes
        Partnership (OMOP) Common Data Model. Can extract all necessary
        data from a database. This implements large-scale propensity
        scores (LSPS) as described in Tian et al. (2018)
        <doi:10.1093/ije/dyy120>, using a large set of covariates,
        including for example all drugs, diagnoses, procedures, as well
        as age, comorbidity indexes, etc. Large scale regularized
        regression is used to fit the propensity and outcome models as
        described in Suchard et al. (2013)
        <doi:10.1145/2414416.2414791>. Functions are included for
        trimming, stratifying, (variable and fixed ratio) matching and
        weighting by propensity scores, as well as diagnostic
        functions, such as propensity score distribution plots and
        plots showing covariate balance before and after matching
        and/or trimming. Supported outcome models are (conditional)
        logistic regression, (conditional) Poisson regression, and
        (stratified) Cox regression. Also included are Kaplan-Meier
        plots that can adjust for the stratification or matching.
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortMethod/,
        https://github.com/OHDSI/CohortMethod
BugReports: https://github.com/OHDSI/CohortMethod/issues
Depends: R (>= 4.1.0), DatabaseConnector (>= 6.0.0), Cyclops (>=
        3.6.0), FeatureExtraction (>= 3.0.0), Andromeda (>= 0.6.3)
Imports: methods, utils, ggplot2, gridExtra, grid, readr, plyr, dplyr,
        rlang, Rcpp (>= 0.11.2), SqlRender (>= 1.18.0), survival,
        ParallelLogger (>= 3.4.2), checkmate, EmpiricalCalibration,
        jsonlite, R6, digest
Suggests: testthat, pROC, knitr, rmarkdown, Eunomia, zip, withr,
        R.utils, RSQLite, ResultModelManager, markdown, PSweight
SystemRequirements: Java
LinkingTo: Rcpp
NeedsCompilation: yes
Roxygen: list(markdown = TRUE)
Encoding: UTF-8
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: make default-jdk libicu-dev libxml2-dev libx11-dev
        xz-utils
Repository: https://ohdsi.r-universe.dev
Date/Publication: 2026-06-22 07:01:16 UTC
RemoteUrl: https://github.com/ohdsi/cohortmethod
RemoteRef: HEAD
RemoteSha: dd1a2a856ef608547a99d3db2d60d5c872f80dc6
Packaged: 2026-06-29 06:26:23 UTC; root
Author: Martijn Schuemie [aut, cre],
  Marc Suchard [aut],
  Patrick Ryan [aut]