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ipwErrorY  

Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ipwErrorY", "2.1")



Attach the package and use:
library("ipwErrorY")
Maintained by
Di Shu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-01
Latest Update: 2019-05-02
Description:
An implementation of the correction methods proposed by Shu and Yi (2017) 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.
How to cite:
Di Shu (2018). ipwErrorY: Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome. R package version 2.1, https://cran.r-project.org/web/packages/ipwErrorY. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2018-03-01 16:47), 2.0 (2019-04-27 21:30)
Other packages that cited ipwErrorY R package
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Other R packages that ipwErrorY depends, imports, suggests or enhances
Complete documentation for ipwErrorY
Functions, R codes and Examples using the ipwErrorY R package
Some associated functions: Est2Replicates . EstValidation . KnownError . KnownErrorDR . ipwErrorY-package . 
Some associated R codes: DoublyRobust.R . knownMisCalssProb.R . with2Replicates.R . withValidationData.R .  Full ipwErrorY package functions and examples
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