sensitivityIxJ: Exact, Nonparametric Sensitivity Analysis for I×J Tables

CRAN Package
GitHub Repository
Elaine K. Chiu and Hyunseung Kang.

sensitivityIxJ is an R package for exact, nonparametric sensitivity analysis in multi-category contingency tables. It provides methods for conducting sensitivity analysis for observational studies with general I×J treatment–outcome structures under unmeasured confounding.

The package was developed at the University of Wisconsin–Madison and is designed for cross-platform use.

Version: 1.0.0
License: GPL-3

Replication code for "Towards Robust Matched Observational Studies with General Treatment Types: Consistency, Efficiency, and Adaptivity"

GitHub Repository
Siyu Heng, Elaine K. Chiu, and Hyunseung Kang.

R code and data reproducing all simulations and the data analysis in the paper, covering sensitivity analysis, generalized design sensitivity, Bahadur efficiency, and adaptive testing for matched pairs with continuous treatment doses.

The repository contains matched_sensitivity_analysis_functions.R with the core routines, together with the simulations/ and data_analysis/ directories reproducing the numerical results and the applied example.