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) . 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.


Reference manual

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install.packages("sensitivitymult")

1.0.2 by Paul R. Rosenbaum, 9 years ago


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


Authors: Paul R. Rosenbaum


Documentation:   PDF Manual  


GPL-2 license


Imports stats


Imported by DOS2, evident.

Suggested by tailTransform, weightedRank.


See at CRAN