CRAN/E | ipwErrorY

ipwErrorY

Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome

Installation

About

An implementation of the correction methods proposed by Shu and Yi (2017) doi:10.1177/0962280217743777 for the inverse probability weighted (IPW) estimation of average treatment effect (ATE) with misclassified binary outcomes. Logistic regression model is assumed for treatment model for all implemented correction methods, and is assumed for the outcome model for the implemented doubly robust correction method. Misclassification probability given a true value of the outcome is assumed to be the same for all individuals.

Key Metrics

Version 2.1
Published 2019-05-02 1793 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Di Shu

shudi1991@gmail.com

Authors

Di Shu
Grace Y. Yi

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

Old Sources

ipwErrorY archive

Imports

nleqslv
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