An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
From MaRDI portal
Publication:2074084
DOI10.1007/s10985-021-09526-4OpenAlexW3173379114MaRDI QIDQ2074084
Zhuoran Yang, You-Gan Wang, Yan Zhou, Liya Fu
Publication date: 4 February 2022
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.03948
Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations
- Rank regression for accelerated failure time model with clustered and censored data
- Monotone estimating equations for censored data
- Robust Smoothed Rank Estimation Methods for Accelerated Failure Time Model Allowing Clusters
- Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data
- Rank Regression Analysis of Multivariate Failure Time Data Based on Marginal Linear Models
- On One-Step GM Estimates and Stability of Inferences in Linear Regression
- Accelerated failure time models for counting processes
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
- Inferences for a semiparametric model with panel data
- Linear Regression Analysis for Highly Stratified Failure Time Data
- Standard errors and covariance matrices for smoothed rank estimators
- Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling
