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DESCRIPTION
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DESCRIPTION
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Package: CohortMethod
Type: Package
Title: New-user cohort method with large scale propensity and outcome models
Version: 3.1.0
Date: 2019-08-27
Authors@R: c(
person("Martijn", "Schuemie", , "[email protected]", role = c("aut", "cre")),
person("Marc", "Suchard", role = c("aut")),
person("Patrick", "Ryan", role = c("aut"))
)
Maintainer: Martijn Schuemie <[email protected]>
Description: CohortMethod is an R package for performing new-user cohort studies
in an observational database in the OMOP Common Data Model. It extracts the
necessary data from a database and uses a large set of covariates for both the
propensity and outcome model, 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. Functions are included for trimming, stratifying,
(varibale 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 (>= 3.2.2),
DatabaseConnector (>= 2.2.0),
Cyclops,
FeatureExtraction (>= 2.2.3)
Imports:
methods,
ggplot2,
gridExtra,
grid,
bit,
ff,
ffbase (>= 0.12.3),
plyr,
Rcpp (>= 0.11.2),
SqlRender (>= 1.5.2),
survival,
ParallelLogger
Suggests:
testthat,
pROC,
knitr,
rmarkdown,
EmpiricalCalibration
LinkingTo: Rcpp
NeedsCompilation: yes
RoxygenNote: 6.1.1
Encoding: UTF-8