Showing 2 of total 2 results (show query)
cran
sensitivitymv:Sensitivity Analysis in Observational Studies
The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.
Maintained by Paul R. Rosenbaum. Last updated 7 years ago.
2.08 score 4 dependentscran
sensitivitymw:Sensitivity Analysis for Observational Studies Using Weighted M-Statistics
Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.
Maintained by Paul R. Rosenbaum. Last updated 3 years ago.
1 stars 1.00 score