sensitivitymv-package: Sensitivity Analysis in Observational Studies

In sensitivitymv: Sensitivity Analysis in Observational Studies

Sensitivity Analysis in Observational Studies

Description

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>.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.

Author(s)

Paul R. Rosenbaum [aut, cre]

Maintainer: Paul R. Rosenbaum <[e-mail]>

References

Rosenbaum, P. R. (2007) <doi:10.1111/j.1541-0420.2006.00717.x> Sensitivity analysis for m-estimates, tests and confidence intervals in matched observational studies. Biometrics, 2007, 63, 456-464.

Rosenbaum, P. R. (2010) <doi:10.1007/978-1-4419-1213-8> Design of Observational Studies. New York: Springer Section 2.9 explains randomization inference with M-statistics in an example with 5 matched pairs.

Rosenbaum, P. R. (2013) <doi:10.1111/j.1541-0420.2012.01821.x> Impact of multiple matched controls on design sensitivity in observational studies. Biometrics, 2013, 69, 118-127.

Rosenbaum, P. R. (2014) <doi:10.1080/01621459.2013.879261> Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls. Journal of the American Statistical Association, 109(507), 1145-1158.

Rosenbaum, P. R. (2015). Two R packages for sensitivity analysis in observational studies. Observational Studies, 1(1), 1-17. Free on-line at obsstudies.org

Rosenbaum, P. R. (2017) Observation and Experiment: An Introduction to Causal Inference. Cambridge, MA: Harvard University Press. Chapter 9 discusses sensitivity analysis.

Examples

# Example reproduces parts of sect. 4.3 in Rosenbaum (2007)
data(tbmetaphase)
senmv(tbmetaphase,gamma=2,trim=1)

sensitivitymv documentation built on June 8, 2025, 12:34 p.m.