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SensitivityCaseControl  

Sensitivity Analysis for Case-Control Studies
View on CRAN: Click here


Download and install SensitivityCaseControl package within the R console
Install from CRAN:
install.packages("SensitivityCaseControl")

Install from Github:
library("remotes")
install_github("cran/SensitivityCaseControl")

Install by package version:
library("remotes")
install_version("SensitivityCaseControl", "2.2")



Attach the package and use:
library("SensitivityCaseControl")
Maintained by
Dylan Small
[Scholar Profile | Author Map]
First Published: 2012-11-08
Latest Update: 2022-06-03
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.
How to cite:
Dylan Small (2012). SensitivityCaseControl: Sensitivity Analysis for Case-Control Studies. R package version 2.2, https://cran.r-project.org/web/packages/SensitivityCaseControl. Accessed 09 Apr. 2025.
Previous versions and publish date:
1.0 (2012-11-08 07:11), 2.1 (2014-05-30 21:01)
Other packages that cited SensitivityCaseControl R package
View SensitivityCaseControl citation profile
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Complete documentation for SensitivityCaseControl
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