Sensitivity Analysis for Observational Studies with Multiple Outcomes
Amplification of sensitivity analysis in observational studies.
Sensitivity Analysis for a Comparison Involving Several Outcomes in an...
Computes M-scores for M-tests and estimates.
Combining One Planned Comparison and a Scheffe Correction For All Comp...
Sensitivity Analysis for Principal Components of M-Scores for Several ...
Sensitivity Analysis for a Matched Comparison in an Observational Stud...
Sensitivity Analysis for a Confidence Interval.
Asymptotic separable calculations internal to other functions.
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.