twoPhaseSens: Sensitivity Analysis for Covariates Observed in Two-Phase
Samples
Provides a structured method-comparison sensitivity-analysis
workflow for linear regression when important continuous adjustment
covariates are observed only in a Phase-2 subsample. Implements naive
analysis, complete-case analysis, fully conditional specification multiple
imputation, joint-model multiple imputation, inverse probability
weighting, and augmented inverse probability weighting, with standardized
tables, diagnostics, and publication-style forest plots. Methodological
background is provided by Little and Rubin (2019)
<doi:10.1002/9781119482260> for general missing-data methods, White and
Carlin (2010) <doi:10.1002/sim.3944> for complete-case analysis with
missing covariates, White, Royston and Wood (2011)
<doi:10.1002/sim.4067> and van Buuren and Groothuis-Oudshoorn (2011)
<doi:10.18637/jss.v045.i03> for chained-equations multiple imputation,
Quartagno, Grund and Carpenter (2019) <doi:10.32614/RJ-2019-028> for
joint-model multiple imputation, Robins, Rotnitzky and Zhao (1994)
<doi:10.1080/01621459.1994.10476818> for inverse-probability weighting
with missing regressors, and Bang and Robins (2005)
<doi:10.1111/j.1541-0420.2005.00377.x> for doubly robust estimation.
| Version: |
0.1.0 |
| Imports: |
ggplot2, gtsummary (≥ 2.0.0), jomo, mice, rlang, tidyselect |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-10-22 |
| DOI: |
10.32614/CRAN.package.twoPhaseSens (may not be active yet) |
| Author: |
Rophence Ojiambo 
[aut, cre],
Jemar Bather
[aut] |
| Maintainer: |
Rophence Ojiambo <rophence.ojiambo at nyu.edu> |
| BugReports: |
https://github.com/rophenceojiambo/twoPhaseSens/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://rophenceojiambo.github.io/twoPhaseSens/,
https://github.com/rophenceojiambo/twoPhaseSens |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
twoPhaseSens results |
Documentation:
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