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senstrat (version 1.0.3)

Sensitivity Analysis for Stratified Observational Studies

Description

Sensitivity analysis in unmatched observational studies, with or without strata. The main functions are sen2sample() and senstrat(). See Rosenbaum, P. R. and Krieger, A. M. (1990), JASA, 85, 493-498, and Gastwirth, Krieger and Rosenbaum (2000), JRSS-B, 62, 545<80><93>555 .

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Version

Install

install.packages('senstrat')

Monthly Downloads

200

Version

1.0.3

License

GPL-2

Maintainer

Paul Rosenbaum

Last Published

July 16th, 2017

Functions in senstrat (1.0.3)

evall

Compute expectations and variances for one stratum.
hodgeslehmann

Computes Hodges-Lehmann Aligned Ranks.
computep

Computes individual and pairwise treatment assignment probabilities.
ev

Computes the null expectation and variance for one stratum.
sen2sample

Treatment versus control sensitivity analysis without strata.
senstrat

Sensitivity Analysis With Strata.
homocyst

Homocysteine levels in daily smokers and never smokers.
mscores

Computes M-Scores for Two-Sample or Stratified Permutation Inference.
zeta

zeta function in sensitivity analysis