Other packages > Find by keyword >

CoxAIPW  

Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CoxAIPW", "0.0.3")



Attach the package and use:
library("CoxAIPW")
Maintained by
Jiyu Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-08
Latest Update: 2023-09-20
Description:
Doubly robust estimation and inference of log hazard ratio under the Cox marginal structural model with informative censoring. An augmented inverse probability weighted estimator that involves 3 working models, one for conditional failure time T, one for conditional censoring time C and one for propensity score. Both models for T and C can depend on both a binary treatment A and additional baseline covariates Z, while the propensity score model only depends on Z. With the help of cross-fitting techniques, achieves the rate-doubly robust property that allows the use of most machine learning or non-parametric methods for all 3 working models, which are not permitted in classic inverse probability weighting or doubly robust estimators. When the proportional hazard assumption is violated, CoxAIPW estimates a causal estimated that is a weighted average of the time-varying log hazard ratio. Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear Regression, Informative Censoring, Causal Inference, and Non-Proportional Hazards [Unpublished doctoral dissertation]. University of California San Diego.; Luo & Xu (2022) ; Rava (2021) .
How to cite:
Jiyu Luo (2023). CoxAIPW: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring. R package version 0.0.3, https://cran.r-project.org/web/packages/CoxAIPW. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.0.1 (2023-02-08 10:40), 0.0.2 (2023-05-31 10:00), (2026-07-09 08:01)
Other packages that cited CoxAIPW R package
View CoxAIPW citation profile
Other R packages that CoxAIPW depends, imports, suggests or enhances
Complete documentation for CoxAIPW
Functions, R codes and Examples using the CoxAIPW R package
Full CoxAIPW package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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