CRAN/E | ipwCoxCSV

ipwCoxCSV

Inverse Probability Weighted Cox Model with Corrected Sandwich Variance

Installation

About

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.

Key Metrics

Version 1.0
Published 2019-10-09 1798 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks ipwCoxCSV results

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Maintainer

Maintainer

Di Shu

Authors

Di Shu
Rui Wang

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

survival
stats