Other packages > Find by keyword >

CohortMethod  

Comparative Cohort Method with Large Scale Propensity and Outcome Models
View on CRAN: Click here


Download and install CohortMethod package within the R console
Install from CRAN:
install.packages("CohortMethod")

Install from Github:
library("remotes")
install_github("cran/CohortMethod")

Install by package version:
library("remotes")
install_version("CohortMethod", "6.0.3")



Attach the package and use:
library("CohortMethod")
Maintained by
Martijn Schuemie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-21
Latest Update: 2026-03-21
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.
How to cite:
Martijn Schuemie (2026). CohortMethod: Comparative Cohort Method with Large Scale Propensity and Outcome Models. R package version 6.0.3, https://cran.r-project.org/web/packages/CohortMethod. Accessed 24 Oct. 2026.
Previous versions and publish date:
6.0.1 (2026-03-21 10:40), 6.0.2 (2026-05-08 13:32), (2026-07-09 08:00)
Other packages that cited CohortMethod R package
View CohortMethod citation profile
Other R packages that CohortMethod depends, imports, suggests or enhances
Complete documentation for CohortMethod
Functions, R codes and Examples using the CohortMethod R package
Full CohortMethod package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA