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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.
Maintained by Paul R. Rosenbaum. Last updated 8 years ago.
1.95 score 3 dependentscran
DOS2:Design of Observational Studies, Companion to the Second Edition
Contains data sets, examples and software from the Second Edition of "Design of Observational Studies"; see Rosenbaum, P.R. (2010) <doi:10.1007/978-1-4419-1213-8>.
Maintained by Paul Rosenbaum. Last updated 6 years ago.
2 stars 1.78 score 1 dependents