R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
CoxAIPW
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]
[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 23 Dec. 2024.
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
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
dMod
The framework provides functions to generate ODEs of reaction
networks, parameter transformations, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Kaschek (view profile)
GNAR
Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matt Nunes (view profile)
gemma2
Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (20 ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Frederick Boehm (view profile)
cdmTools
Provides useful tools for cognitive diagnosis modeling (CDM). The package includes functions for emp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pablo Nájera (view profile)
compound.Cox
Univariate feature selection and compound covariate methods under the Cox model with high-dimensiona ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Takeshi Emura (view profile)