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sensitivitymw (version 2.1)

Sensitivity Analysis for Observational Studies Using Weighted M-Statistics

Description

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 .

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Version

Install

install.packages('sensitivitymw')

Monthly Downloads

334

Version

2.1

License

GPL-2

Maintainer

Paul Rosenbaum

Last Published

January 4th, 2022

Functions in sensitivitymw (2.1)

separable1k

Asymptotic separable calculations internal to other functions.
newurks

Approximate scores for ranks of row ranges.
senmw

Sensitivity analysis in observational studies using weighted Huber-Maritz M-statistics.
mercury

NHANES Mercury/Fish Data
erpcp

DNA Damage Among Welders
mscorev

Computes the M-scores used by senmw.
multrnks

Approximate scores for ranks.
senmwCI

Point estimate and confidence interval for sensitivity analysis in observational studies using weighted Huber-Maritz M-statistics.
sensitivitymw-package

sensitivitymw