SensitivityCaseControl: Sensitivity Analysis for Case-Control Studies

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.

Version: 2.2
Published: 2022-06-03
Author: Dylan Small
Maintainer: Dylan Small <dsmall at wharton.upenn.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SensitivityCaseControl results

Documentation:

Reference manual: SensitivityCaseControl.pdf

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Package source: SensitivityCaseControl_2.2.tar.gz
Windows binaries: r-devel: SensitivityCaseControl_2.2.zip, r-release: SensitivityCaseControl_2.2.zip, r-oldrel: SensitivityCaseControl_2.2.zip
macOS binaries: r-release (arm64): SensitivityCaseControl_2.2.tgz, r-oldrel (arm64): SensitivityCaseControl_2.2.tgz, r-release (x86_64): SensitivityCaseControl_2.2.tgz, r-oldrel (x86_64): SensitivityCaseControl_2.2.tgz
Old sources: SensitivityCaseControl archive

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