Regression analysis of multivariate recurrent event data with time-varying covariate effects

DOI10.1016/j.jmva.2009.08.001zbMath1175.62107OpenAlexW2039287793MaRDI QIDQ1036784

Jianguo Sun, Liang Zhu, Liu-Quan Sun

Publication date: 13 November 2009

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2009.08.001

zbMATH Keywords

time-varying coefficientsrecurrent event datamarginal modelsevent history study

Mathematics Subject Classification ID

Related Items (12)

Analysis of multivariate recurrent event data with time-dependent covariates and informative censoring ⋮ A semiparametric additive rates model for multivariate recurrent events with missing event categories ⋮ An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random ⋮ Semiparametric modelling and estimation of covariate‐adjusted dependence between bivariate recurrent events ⋮ Functional modeling of recurrent events on time‐to‐event processes ⋮ Kernel regression for cause-specific hazard models with time-dependent coefficients ⋮ Statistical analysis of clustered mixed recurrent-event data with application to a cancer survivor study ⋮ Partially time-varying coefficient linear rate model for the recurrent event data ⋮ Semiparametric additive marginal regression models for multiple type recurrent events ⋮ Analysis of cyclic recurrent event data with multiple event types ⋮ Regression analysis of multivariate recurrent event data with time-varying covariate effects ⋮ Nonparametric inference based on panel count data

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Cox's regression model for counting processes: A large sample study
• Regression analysis of multivariate recurrent event data with time-varying covariate effects
• Marginal means/rates models for multiple type recurrent event data
• Rate/Mean Regression for Multiple-Sequence Recurrent Event Data with Missing Event Category
• On the regression analysis of multivariate failure time data
• Interim Monitoring of Longitudinal Comparative Studies with Recurrent Event Responses
• Robust Tests for Treatment Comparisons Based on Recurrent Event Responses
• Efficient Estimation of Fixed and Time‐varying Covariate Effects in Multiplicative Intensity Models
• Semiparametric Transformation Models for Point Processes
• Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Marginal Regression Models for Multivariate Failure Time Data
• A Marginal Mixed Baseline Hazards Model for Multivariate Failure Time Data
• Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
• On Estimation and Tests of Time-Varying Effects in the Proportional Hazards Model
• Some Simple Robust Methods for the Analysis of Recurrent Events
• A semiparametric additive regression model for longitudinal data
• Statistical models based on counting processes

This page was built for publication: Regression analysis of multivariate recurrent event data with time-varying covariate effects