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.
|Date of publication||2014-05-30 21:01:43|
|Maintainer||Dylan Small <firstname.lastname@example.org>|
|License||GPL (>= 2)|
adaptive.case.test: Adaptive sensitivity analysis for case-control studies
adaptive.noether.brown: Adaptive test for observational studies that adapts between...
adaptive.test.critical.value.func: Critical values for adaptive test
gconv: Distribution of the convolution of two discrete random...
jointcrit: Joint critical values for adaptive test
mhxct.weighted: Distribution of Mantel-Haenszel test statistic.
sens.analysis.aberrant.rank: Sensitivity analysis for aberrant rank test.
sens.analysis.mh: Sensitivity Analysis for Mantel-Haenszel test
SensitivityCaseControl-package: Sensitivity Analysis for Case-Control Studies