Other packages > Find by keyword >

dstat  

Conditional Sensitivity Analysis for Matched Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dstat", "1.0.4")



Attach the package and use:
library("dstat")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-16
Latest Update: 2019-04-16
Description:
A d-statistic tests the null hypothesis of no treatment effect in a matched, nonrandomized study of the effects caused by treatments. A d-statistic focuses on subsets of matched pairs that demonstrate insensitivity to unmeasured bias in such an observational study, correcting for double-use of the data by conditional inference. This conditional inference can, in favorable circumstances, substantially increase the power of a sensitivity analysis (Rosenbaum (2010) ). There are two examples, one concerning unemployment from Lalive et al. (2006) , the other concerning smoking and periodontal disease from Rosenbaum (2017) .
How to cite:
Paul R. Rosenbaum (2019). dstat: Conditional Sensitivity Analysis for Matched Observational Studies. R package version 1.0.4, https://cran.r-project.org/web/packages/dstat. Accessed 07 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited dstat R package
View dstat citation profile
Other R packages that dstat depends, imports, suggests or enhances
Complete documentation for dstat
Functions, R codes and Examples using the dstat R package
Some associated functions: amplify . dental . dstat-package . dstat . lalive . 
Some associated R codes: amplify.R . dstat.R .  Full dstat package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA