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 .


Reference manual

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install.packages("sensitivitymw")

2.1 by Paul R. Rosenbaum, 5 years ago


Browse source code at https://github.com/cran/sensitivitymw


Authors: Paul R. Rosenbaum


Documentation:   PDF Manual  


GPL-2 license


Imports stats


Suggested by senstrat, tailTransform, weightedRank.


See at CRAN