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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 "SAMBA" in publications use:'
type: software
license: GPL-3.0-only
title: 'SAMBA: Selection and Misclassification Bias Adjustment for Logistic Regression
  Models'
version: 1.0.0
doi: 10.32614/CRAN.package.SAMBA
abstract: Health research using data from electronic health records (EHR) has gained
  popularity, but misclassification of EHR-derived disease status and lack of representativeness
  of the study sample can result in substantial bias in effect estimates and can impact
  power and type I error for association tests. Here, the assumed target of inference
  is the relationship between binary disease status and predictors modeled using a
  logistic regression model. 'SAMBA' implements several methods for obtaining bias-corrected
  point estimates along with valid standard errors as proposed in Beesley and Mukherjee
  (2020) <https://doi.org/10.1111/biom.13400>, Biometrics.
authors:
- family-names: Beesley
  given-names: Lauren
  email: lbeesley@umich.edu
- family-names: Rix
  given-names: Alexander
  email: alexrix@umich.edu
repository: https://lbeesleybiostat.r-universe.dev
commit: d057ac0d7b8355c0f61a87564ba82617c5d38aa4
date-released: '2026-06-03'
contact:
- family-names: Beesley
  given-names: Lauren
  email: lbeesley@umich.edu