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ipwCoxCSV  

Inverse Probability Weighted Cox Model with Corrected Sandwich Variance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ipwCoxCSV", "1.0")



Attach the package and use:
library("ipwCoxCSV")
Maintained by
Di Shu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-09
Latest Update: 2019-10-09
Description:
An implementation of corrected sandwich variance (CSV) estimation method for making inference of marginal hazard ratios (HR) in inverse probability weighted (IPW) Cox model without and with clustered data, proposed by Shu, Young, Toh, and Wang (2019) in their paper under revision for Biometrics. Both conventional inverse probability weights and stabilized weights are implemented. Logistic regression model is assumed for propensity score model.
How to cite:
Di Shu (2019). ipwCoxCSV: Inverse Probability Weighted Cox Model with Corrected Sandwich Variance. R package version 1.0, https://cran.r-project.org/web/packages/ipwCoxCSV. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ipwCoxCSV R package
View ipwCoxCSV citation profile
Other R packages that ipwCoxCSV depends, imports, suggests or enhances
Complete documentation for ipwCoxCSV
Functions, R codes and Examples using the ipwCoxCSV R package
Some associated functions: ipwCoxCSV-package . ipwCoxCluster . ipwCoxInd . 
Some associated R codes: ipwCoxCluster.R . ipwCoxInd.R .  Full ipwCoxCSV package functions and examples
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