A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness-Reference-Cited by-同舟云学术

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A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness

Published:2013-05 Issue: Volume:117 Page:1-13
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Chen Baojiang,Zhou Xiao-Hua

Funder

US Department of Veterans Affairs

Veterans Affairs Health Administration

HSR&D

National Science Foundation of China

National Institute on Aging

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference28 articles.

1. A Pearson-type goodness-of-fit test for stationary and time-continuous Markov regression models;Aguirre-Hernandez;Statistics in Medicine,2002

2. A two-state Markov chain for heterogeneous transitional data: a quasi-likelihood approach;Albert;Statistics in Medicine,1998

3. Statistical Models Based on Counting Processes;Andersen,1993

4. Some recent developments in social statistics;Bartholomew;International Statistical Review,1983

5. Regression modeling with recurrent events and time-dependent interval-censored marker data;Chen;Lifetime Data Analysis,2003

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