Sensitivity Analysis Using Weighted Rank Statistics
Amplification of sensitivity analysis in observational studies.
Weighted Rank Statistics for Evidence Factors with Two Control Groups
Evidence Factors For Matched Triples With Two Control Groups
Estimate the Power of a Sensitivity Analysis
Generalized Sensitivity Analysis for Weighted Rank Statistics in Block...
Generalized Conditional Weighted Rank Test
Root of a Monotone Decreasing Step Function
tools:::Rd_package_title("weightedRank")
Sensitivity Analysis for Weighted Rank Statistics in Block Designs
Sensitivity Analysis for a Conditional Weighted Rank Test
Sensitivity Analysis for Confidence Intervals and Point Estimates from...
Adaptive Inference Using Two Test Statistics in a Block Design
Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) <doi:10.1080/01621459.2023.2221402>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The package can increase design sensitivity using the conditioning tactic in Rosenbaum (2025) <doi:10.1093/jrsssb/qkaf007>. The main functions are wgtRank(), wgtRankCI(), wgtRanktt() and wgtRankC().