Joint modeling of generalized scale-change models for recurrent event and failure time data
From MaRDI portal
Publication:6099539
DOI10.1007/s10985-022-09573-5MaRDI QIDQ6099539
Publication date: 20 June 2023
Published in: Lifetime Data Analysis (Search for Journal in Brave)
informative censoringfrailtyrecurrent eventsfailure timejoint modelinggeneralized scale-change models
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Cox's regression model for counting processes: A large sample study
- Accelerated rates regression models for recurrent failure time data
- A flexible semiparametric transformation model for recurrent event data
- A semiparametric additive rates model for recurrent event data
- Joint modeling of recurrent and terminal events using additive models
- Weak convergence and empirical processes. With applications to statistics
- A large sample study of rank estimation for censored regression data
- The statistical analysis of recurrent events.
- A survey of product-integration with a view toward application in survival analysis
- On a general class of semiparametric hazards regression models
- An Estimating Function Approach to the Analysis of Recurrent and Terminal Events
- Semiparametric Transformation Models with Random Effects for Joint Analysis of Recurrent and Terminal Events
- Statistical inference methods for recurrent event processes with shape and size parameters
- Shared Frailty Models for Recurrent Events and a Terminal Event
- Efficient resampling methods for nonsmooth estimating functions
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
- Panel Data with Survival: Hospitalization of HIV-Positive Patients
- Accelerated failure time models for counting processes
- Numerical Optimization
- Semiparametric Transformation Models for Point Processes
- Analyzing Recurrent Event Data With Informative Censoring
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
- Generalized scale-change models for recurrent event processes under informative censoring
- Statistical inference on shape and size indexes for counting processes
- Semiparametric Transformation Models With Random Effects for Recurrent Events
- Semiparametric Analysis of Correlated Recurrent and Terminal Events
- A class of accelerated means regression models for recurrent event data