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
Author:	Paul R. Rosenbaum
Maintainer:	Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	sensitivitymw results

Documentation:

Reference manual:

sensitivitymw.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests:

senstrat, tailTransform, weightedRank

Linking:

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