An additive marginal regression model for clustered recurrent event in the presence of a terminal event
From MaRDI portal
Publication:4563502
DOI10.1080/03610926.2017.1332221zbMath1462.62386OpenAlexW2620057741MaRDI QIDQ4563502
Publication date: 1 June 2018
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1332221
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)
Cites Work
- Unnamed Item
- Unnamed Item
- A general additive-multiplicative rates model for recurrent and terminal events
- Cox's regression model for counting processes: A large sample study
- An additive-multiplicative rates model for recurrent event data with informative terminal event
- A general additive-multiplicative rates model for recurrent event data
- A semiparametric additive rates model for clustered recurrent event data
- Marginal analysis for clustered failure time data
- Semiparametric regression analysis for clustered failure time data
- A semiparametric additive rate model for recurrent events with an informative terminal event
- A Marginal Additive Rates Model for Recurrent Event Data with a Terminal Event
- Additive Mixed Effect Model for Clustered Failure Time Data
- Semiparametric Frailty Models for Clustered Failure Time Data
- Computationally Efficient Marginal Models for Clustered Recurrent Event Data
- Semiparametric Transformation Models with Random Effects for Joint Analysis of Recurrent and Terminal Events
- Flexible Estimation of Differences in Treatment-Specific Recurrent Event Means in the Presence of a Terminating Event
- Efficient estimation of semiparametric transformation models for counting processes
- Partial likelihood
- Analyzing Recurrent Event Data With Informative Censoring
- Semiparametric Mixed-Effects Models for Clustered Failure Time Data
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- Analysis of clustered recurrent event data with application to hospitalization rates among renal failure patients
This page was built for publication: An additive marginal regression model for clustered recurrent event in the presence of a terminal event