A partial likelihood-based two-dimensional multistate Markov model with application to myocardial infarction and stroke recurrence
From MaRDI portal
Publication:2061765
DOI10.1007/s13571-019-00212-yOpenAlexW3023814348MaRDI QIDQ2061765
Chu-Chih Chen, Chuan-Pin Lee, Yuan-Horng Yan, Tsun-Jen Cheng, Pranab Kumar Sen
Publication date: 21 December 2021
Published in: Sankhyā. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13571-019-00212-y
partial likelihoodtransition probabilitycumulative incidence functionbivariate exponential distributionrecurrent event
Cites Work
- Cox's regression model for counting processes: A large sample study
- Time-dependent coefficients in a Cox-type regression model
- Semi-Markov Models with Phase-Type Sojourn Distributions
- Statistical methods for panel data from a semi-Markov process, with application to HPV
- A Continuous Bivariate Exponential Distribution
- An Extension of Marshall and Olkin's Bivariate Exponential Distribution
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Conditional Regression Analysis for Recurrence Time Data
- A Semi-Markov Model Based on Generalized Weibull Distribution with an Illustration for HIV Disease
- A Multivariate Exponential Distribution
- Statistical models based on counting processes
This page was built for publication: A partial likelihood-based two-dimensional multistate Markov model with application to myocardial infarction and stroke recurrence