sensitivitymult: Sensitivity Analysis for Observational Studies with Multiple Outcomes

Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.

Getting started

Package details

AuthorPaul R. Rosenbaum
MaintainerPaul R. Rosenbaum <>
Package repositoryView on CRAN
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sensitivitymult documentation built on May 2, 2019, 3:52 a.m.