Multi-Cohort Selection Bias Correction using IPW and AIPW Methods
Overview
Comprehensive toolkit for addressing selection bias in binary disease models across diverse non-probability samples, each with unique selection mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce selection bias effectively in multiple non-probability cohorts by integrating data from either individual-level or summary-level external sources. The package also provides a variety of variance estimation techniques. Please refer to Kundu et al. doi:10.48550/arXiv.2412.00228.
Install
Health
NOTER code for possible problemsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Found calls to structure() using deprecated special names: EHRmuse/R/simplexreg.R (.Names: 1) '.Names' should be changed to 'names'.
- NOTE8 OK, 5 NOTENow
- NOTE10 OK, 3 NOTE2026-07-16
- OK14 OK2026-03-10
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- not measured
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/ritoban1/ehrmuse on 2026-10-11.
Dependencies
Installing EHRmuse adds 28 packages (17 with compiled code, 20 MB of source tarballs). Heaviest: data.table 5.7 MB, survey 2.3 MB, Rcpp 1.8 MB.
Code & Tests
People & History
Package metadata
- First published
- 2025-01-20
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 32 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("EHRmuse")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v071.i11.
Cite the R Observatory
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From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.