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PDRobust  

Robust Longitudinal Effects Under Truncation by Death
View on CRAN: Click here


Download and install PDRobust package within the R console
Install from CRAN:
install.packages("PDRobust")

Install from Github:
library("remotes")
install_github("cran/PDRobust")

Install by package version:
library("remotes")
install_version("PDRobust", "0.3.8")



Attach the package and use:
library("PDRobust")
Maintained by
Huan Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-02
Latest Update: 2026-10-02
Description:
Implements principal-stratification methods for estimating time-specific and pooled heterogeneous treatment effects in longitudinal studies where outcomes may be truncated by death. Supports continuous and binary outcomes, explicit data validation and standardization, and covariate-dependent treatment effects. Fits propensity-score, principal-score, and outcome models and provides subject-level bootstrap inference, covariate-balance diagnostics, principal-stratum summaries, treatment-group-specific survival odds ratios, and outcome-noise sensitivity analysis. Methodological background is provided in <doi:10.48550/arXiv.2608.06654>.
How to cite:
Huan Wang (2026). PDRobust: Robust Longitudinal Effects Under Truncation by Death. R package version 0.3.8, https://cran.r-project.org/web/packages/PDRobust. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for PDRobust
Functions, R codes and Examples using the PDRobust R package
Full PDRobust package functions and examples
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