sensitivitymw: Sensitivity Analysis for Observational Studies Using Weighted M-Statistics

Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.

Version: 2.1
Depends: R (≥ 3.5.0)
Imports: stats
Published: 2022-01-04
DOI: 10.32614/CRAN.package.sensitivitymw
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at>
License: GPL-2
NeedsCompilation: no
CRAN checks: sensitivitymw results


Reference manual: sensitivitymw.pdf


Package source: sensitivitymw_2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sensitivitymw_2.1.tgz, r-oldrel (arm64): sensitivitymw_2.1.tgz, r-release (x86_64): sensitivitymw_2.1.tgz, r-oldrel (x86_64): sensitivitymw_2.1.tgz
Old sources: sensitivitymw archive

Reverse dependencies:

Reverse suggests: senstrat, tailTransform, weightedRank


Please use the canonical form to link to this page.