Other packages > Find by keyword >

sensitivityCalibration  

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


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

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

Install by package version:
library("remotes")
install_version("sensitivityCalibration", "0.0.1")



Attach the package and use:
library("sensitivityCalibration")
Maintained by
Bo Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2018-12-18
Description:
Implements the calibrated sensitivity analysis approach for matched observational studies. Our sensitivity analysis framework views matched sets as drawn from a super-population. The unmeasured confounder is modeled as a random variable. We combine matching and model-based covariate-adjustment methods to estimate the treatment effect. The hypothesized unmeasured confounder enters the picture as a missing covariate. We adopt a state-of-art Expectation Maximization (EM) algorithm to handle this missing covariate problem in generalized linear models (GLMs). As our method also estimates the effect of each observed covariate on the outcome and treatment assignment, we are able to calibrate the unmeasured confounder to observed covariates. Zhang, B., Small, D. S. (2018). .
How to cite:
Bo Zhang (2018). sensitivityCalibration: A Calibrated Sensitivity Analysis for Matched Observational Studies. R package version 0.0.1, https://cran.r-project.org/web/packages/sensitivityCalibration. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 0.0.1 (2018-12-18 12:20)
Other packages that cited sensitivityCalibration R package
View sensitivityCalibration citation profile
Other R packages that sensitivityCalibration depends, imports, suggests or enhances
Complete documentation for sensitivityCalibration
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
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  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

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