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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "CohortMethod" in publications use:'
type: software
license: Apache-2.0
title: 'CohortMethod: Comparative Cohort Method with Large Scale Propensity and Outcome
  Models'
version: 6.0.2
doi: 10.3233/SHTI231108
identifiers:
- type: doi
  value: 10.32614/CRAN.package.CohortMethod
- type: doi
  value: 10.3233/shti231108
abstract: 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) <https://doi.org/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)
  <https://doi.org/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.
authors:
- family-names: Schuemie
  given-names: Martijn
  email: schuemie@ohdsi.org
- family-names: Suchard
  given-names: Marc
- family-names: Ryan
  given-names: Patrick
preferred-citation:
  type: article
  title: 'Health-analytics data to evidence suite (HADES): open-source software for
    observational research'
  authors:
  - family-names: Schuemie
    given-names: M. J.
  - family-names: Reps
    given-names: J. M.
  - family-names: Black
    given-names: A.
  - family-names: DeFalco
    given-names: F.
  - family-names: Evans
    given-names: L.
  - family-names: Fridgeirsson
    given-names: E.
  - family-names: Gilbert
    given-names: J. P.
  - family-names: Knoll
    given-names: C.
  - family-names: Lavallee
    given-names: M.
  - family-names: Rao
    given-names: G.
  - family-names: Rijnbeek
    given-names: P.
  - family-names: Sadowski
    given-names: K.
  - family-names: Sena
    given-names: A.
  - family-names: Swerdel
    given-names: J.
  - family-names: Williams
    given-names: R. D.
  - family-names: Suchard
    given-names: M. A.
  journal: Studies in Health Technology and Informatics
  year: '2024'
  volume: '310'
  doi: 10.3233/SHTI231108
  url: https://doi.org/10.3233/shti231108
  start: 966-970
  identifiers:
  - type: doi
    value: 10.3233/shti231108
repository: https://ohdsi.r-universe.dev
repository-code: https://github.com/OHDSI/CohortMethod
commit: b7a38ec408edb3c036c1f6618dc74db35b2afa03
url: https://ohdsi.github.io/CohortMethod/
date-released: '2026-05-07'
contact:
- family-names: Schuemie
  given-names: Martijn
  email: schuemie@ohdsi.org