R package SensitivityCaseControl: Sensitivity Analysis for Case-Control Studies. This package performs sensitivity analysis for case-control studies in which some cases may meet a more narrow definition of being a case compared to other cases which only meet a broad definition. The sensitivity analyses are described in Small, Cheng, Halloran and Rosenbaum (2013, ”Case Definition and Sensitivity Analysis”, Journal of the American Statistical Association, 1457-1468). The functions sens.analysis.mh and sens.analysis.aberrant.rank provide sensitivity analyses based on the Mantel-Haenszel test statistic and aberrant rank test statistic as described in Rosenbaum (1991, ”Sensitivity Analysis for Matched Case Control Studies”, Biometrics); see also Section 1 of Small et al. The function adaptive.case.test provides adaptive inferences as described in Section 5 of Small et al. The function adaptive.noether.brown provides a sensitivity analysis for a matched cohort study based on an adaptive test. The other functions in the package are internal functions.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Karmakar, Bikram; Doubeni, Chyke A.; Small, Dylan S.: Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer (2020)
- Rosenbaum, Paul R.: Bahadur efficiency of sensitivity analyses in observational studies (2015)
- Small, Dylan S.; Cheng, Jing; Halloran, M. Elizabeth; Rosenbaum, Paul R.: Case definition and design sensitivity (2013)