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sensitivitymv (version 1.4.4)

Sensitivity Analysis in Observational Studies

Description

The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, .

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Version

Install

install.packages('sensitivitymv')

Monthly Downloads

225

Version

1.4.4

License

GPL-2

Maintainer

Paul Rosenbaum

Last Published

April 30th, 2025

Functions in sensitivitymv (1.4.4)

truncatedP

Trucated product of P-values.
truncatedPbg

Trucated product of P-values using the mixture formula.
mscorev

Computes the M-scores used by senmv.
newurks

Approximate scores for ranks of row ranges.
erpcp

DNA Damage Among Welders
amplify

Amplification of sensitivity analysis in observational studies.
senmv

Sensitivity analysis in observational studies using Huber-Maritz M-statistics.
lead250

Smoking and lead in 250 matched pairs.
mercury

NHANES Mercury/Fish Data
lead150

Smoking and lead in 150 matched 1-5 sets.
mtm

DNA damage from exposure to chromium
multrnks

Approximate scores for ranks.
tbmetaphase

Genetic damage from drugs used to treat TB
sensitivitymv-package

tools:::Rd_package_title("sensitivitymv")
separable1v

Asymptotic separable calculations internal to other functions.