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senstrat  

Sensitivity Analysis for Stratified Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("senstrat", "1.0.3")



Attach the package and use:
library("senstrat")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
First Published: 2017-07-16
Latest Update: 2017-07-16
Description:
Sensitivity analysis in unmatched observational studies, with or without strata. The main functions are sen2sample() and senstrat(). See Rosenbaum, P. R. and Krieger, A. M. (1990), JASA, 85, 493-498, and Gastwirth, Krieger and Rosenbaum (2000), JRSS-B, 62, 545
How to cite:
Paul R. Rosenbaum (2017). senstrat: Sensitivity Analysis for Stratified Observational Studies. R package version 1.0.3, https://cran.r-project.org/web/packages/senstrat. Accessed 27 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited senstrat R package
View senstrat citation profile
Other R packages that senstrat depends, imports, suggests or enhances
Complete documentation for senstrat
Functions, R codes and Examples using the senstrat R package
Some associated functions: computep . ev . evall . hodgeslehmann . homocyst . mscores . sen2sample . senstrat . zeta . 
Some associated R codes: computep.R . ev.R . evall.R . hodgeslehmann.R . mscores.R . sen2sample.R . senstrat.R . zeta.R .  Full senstrat package functions and examples
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