Package: multibias 1.6

Paul Brendel

multibias: Simultaneous Multi-Bias Adjustment

Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure/outcome misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.

Authors:Paul Brendel [aut, cre, cph]

multibias_1.6.tar.gz
multibias_1.6.tar.gz(r-4.5-noble)multibias_1.6.tar.gz(r-4.4-noble)
multibias_1.6.tgz(r-4.4-emscripten)multibias_1.6.tgz(r-4.3-emscripten)
multibias.pdf |multibias.html✨
multibias/json (API)
NEWS

# Install 'multibias' in R:
install.packages('multibias', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pcbrendel/multibias/issues

Datasets:
  • df_em - Simulated data with exposure misclassification
  • df_em_om - Simulated data with exposure misclassification and outcome misclassification
  • df_em_om_source - Data source for 'df_em_om'
  • df_em_sel - Simulated data with exposure misclassification and selection bias
  • df_em_sel_source - Data source for 'df_em_sel'
  • df_em_source - Data source for 'df_em'
  • df_om - Simulated data with outcome misclassification
  • df_om_sel - Simulated data with outcome misclassification and selection bias
  • df_om_sel_source - Data source for 'df_om_sel'
  • df_om_source - Data source for 'df_om'
  • df_sel - Simulated data with selection bias
  • df_sel_source - Data source for 'df_sel'
  • df_uc - Simulated data with uncontrolled confounding
  • df_uc_em - Simulated data with uncontrolled confounding and exposure misclassification
  • df_uc_em_sel - Simulated data with uncontrolled confounding, exposure misclassification, and selection bias
  • df_uc_em_sel_source - Data source for 'df_uc_em_sel'
  • df_uc_em_source - Data source for 'df_uc_em'
  • df_uc_om - Simulated data with uncontrolled confounding and outcome misclassification
  • df_uc_om_sel - Simulated data with uncontrolled confounding, outcome misclassification, and selection bias
  • df_uc_om_sel_source - Data source for 'df_uc_om_sel'
  • df_uc_om_source - Data source for 'df_uc_om'
  • df_uc_sel - Simulated data with uncontrolled confounding and selection bias
  • df_uc_sel_source - Data source for 'df_uc_sel'
  • df_uc_source - Data source for 'df_uc'
  • evans - Evans County dataset

3.54 score 4 scripts 317 downloads 23 exports 16 dependencies

Last updated 3 days agofrom:2e136b642d. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-linuxOKOct 27 2024

Exports:adjust_emadjust_em_omadjust_em_seladjust_emcadjust_emc_omcadjust_emc_seladjust_omadjust_om_seladjust_omcadjust_omc_seladjust_seladjust_ucadjust_uc_emadjust_uc_em_seladjust_uc_emcadjust_uc_emc_seladjust_uc_omadjust_uc_om_seladjust_uc_omcadjust_uc_omc_seladjust_uc_seldata_observeddata_validation

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Multi-Bias Examples

Rendered frommultibias.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2024-10-26
Started: 2024-10-26

Readme and manuals

Help Manual

Help pageTopics
Adust for exposure misclassification.adjust_em
Adust for exposure misclassification and outcome misclassification.adjust_em_om
Adust for exposure misclassification and selection bias.adjust_em_sel
Adust for outcome misclassification.adjust_om
Adust for outcome misclassification and selection bias.adjust_om_sel
Adust for selection bias.adjust_sel
Adust for uncontrolled confounding.adjust_uc
Adust for uncontrolled confounding and exposure misclassification.adjust_uc_em
Adust for uncontrolled confounding, exposure misclassification, and selection bias.adjust_uc_em_sel
Adust for uncontrolled confounding and outcome misclassification.adjust_uc_om
Adust for uncontrolled confounding, outcome misclassification, and selection bias.adjust_uc_om_sel
Adust for uncontrolled confounding and selection bias.adjust_uc_sel
Represent observed causal datadata_observed
Represent validation causal datadata_validation
Simulated data with exposure misclassificationdf_em
Simulated data with exposure misclassification and outcome misclassificationdf_em_om
Data source for 'df_em_om'df_em_om_source
Simulated data with exposure misclassification and selection biasdf_em_sel
Data source for 'df_em_sel'df_em_sel_source
Data source for 'df_em'df_em_source
Simulated data with outcome misclassificationdf_om
Simulated data with outcome misclassification and selection biasdf_om_sel
Data source for 'df_om_sel'df_om_sel_source
Data source for 'df_om'df_om_source
Simulated data with selection biasdf_sel
Data source for 'df_sel'df_sel_source
Simulated data with uncontrolled confoundingdf_uc
Simulated data with uncontrolled confounding and exposure misclassificationdf_uc_em
Simulated data with uncontrolled confounding, exposure misclassification, and selection biasdf_uc_em_sel
Data source for 'df_uc_em_sel'df_uc_em_sel_source
Data source for 'df_uc_em'df_uc_em_source
Simulated data with uncontrolled confounding and outcome misclassificationdf_uc_om
Simulated data with uncontrolled confounding, outcome misclassification, and selection biasdf_uc_om_sel
Data source for 'df_uc_om_sel'df_uc_om_sel_source
Data source for 'df_uc_om'df_uc_om_source
Simulated data with uncontrolled confounding and selection biasdf_uc_sel
Data source for 'df_uc_sel'df_uc_sel_source
Data source for 'df_uc'df_uc_source
Evans County datasetevans