Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large

DOI10.1111/j.1541-0420.2009.01307.xzbMath1192.62135OpenAlexW1998543014WikidataQ33492945 ScholiaQ33492945MaRDI QIDQ3576913

No author found.

Publication date: 3 August 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01307.x

zbMATH Keywords

correlated failure timeschi-squared testgeneralized estimating equationquadratic inference functionCox's modelmarginal hazard rate

Mathematics Subject Classification ID

Related Items (9)

Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information ⋮ Regression analysis of clustered failure time data with informative cluster size under the additive transformation models ⋮ Weighted Estimator for the Linear Transformation Models with Multivariate Failure Time Data ⋮ Estimated Quadratic Inference Function for Correlated Failure Time Data ⋮ Regression estimation of the marginal models with general relative risk form for multivariate failure time data ⋮ Improving estimation efficiency for multivariate failure time data with auxiliary covariates ⋮ Improving marginal hazard ratio estimation using quadratic inference functions ⋮ Marginal hazard regression for correlated failure time data with auxiliary covariates ⋮ A Comparison of Utilized and Theoretical Covariance Weighting Matrices on the Estimation Performance of Quadratic Inference Functions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Improving generalised estimating equations using quadratic inference functions
• Cox's regression model for counting processes: A large sample study
• Survival analysis. Techniques for censored and truncated data
• Regression estimation using multivariate failure time data and a common baseline hazard function model
• A two-stage estimator of the dependence parameter for the Clayton-Oakes model
• Modeling survival data: extending the Cox model
• Analysis of multivariate survival data
• Semiparametric regression analysis for clustered failure time data
• Assessing robustness of generalised estimating equations and quadratic inference functions
• Prospective survival analysis with a general semiparametric shared frailty model: A pseudo full likelihood approach
• Multivariate Generalizations of the Proportional Hazards Model
• On assessing the strength of dependency between failure time variates
• Regression on hazard ratios and cross ratios in multivariate failure time analysis
• Semiparametric Mixed-Effects Models for Clustered Failure Time Data
• Marginal Regression Models for Multivariate Failure Time Data
• Building Adaptive Estimating Equations When Inverse of Covariance Estimation is Difficult
• Estimating equations for hazard ratio parameters based on correlated failure time data
• Semiparametric Likelihood Estimation in the Clayton–Oakes Failure Time Model
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• Statistical models based on counting processes

This page was built for publication: Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large