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SensitivityCaseControl (version 2.2)

Sensitivity Analysis for Case-Control Studies

Description

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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Install

install.packages('SensitivityCaseControl')

Monthly Downloads

170

Version

2.2

License

GPL (>= 2)

Maintainer

Last Published

June 3rd, 2022

Functions in SensitivityCaseControl (2.2)

jointcrit

Joint critical values for adaptive test
mhxct.weighted

Distribution of Mantel-Haenszel test statistic.
adaptive.noether.brown

Adaptive test for observational studies that adapts between Noether's and Brown's test statistics
adaptive.case.test

Adaptive sensitivity analysis for case-control studies
SensitivityCaseControl-package

Sensitivity Analysis for Case-Control Studies
gconv

Distribution of the convolution of two discrete random variables that taken on nonnegative integer values.
adaptive.test.critical.value.func

Critical values for adaptive test
sens.analysis.mh

Sensitivity Analysis for Mantel-Haenszel test
sens.analysis.aberrant.rank

Sensitivity analysis for aberrant rank test.