Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues
In the past two decades, joint models of longitudinal and survival data have received much attention in the literature. These models are often desirable in the following situations: (i) survival models with measurement errors or missing data in time-dependent covariates, (ii) longitudinal models wit...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2012/640153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850210649441828864 |
|---|---|
| author | Lang Wu Wei Liu Grace Y. Yi Yangxin Huang |
| author_facet | Lang Wu Wei Liu Grace Y. Yi Yangxin Huang |
| author_sort | Lang Wu |
| collection | DOAJ |
| description | In the past two decades, joint models of longitudinal and survival data have received
much attention in the literature. These models are often desirable in the following situations:
(i) survival models with measurement errors or missing data in time-dependent
covariates, (ii) longitudinal models with informative dropouts, and (iii) a survival process
and a longitudinal process are associated via latent variables. In these cases, separate
inferences based on the longitudinal model and the survival model may lead to biased
or inefficient results. In this paper, we provide a brief overview of joint models for
longitudinal and survival data and commonly used methods, including the likelihood
method and two-stage methods. |
| format | Article |
| id | doaj-art-908108df8751408b8e9f8bed5586d730 |
| institution | OA Journals |
| issn | 1687-952X 1687-9538 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Probability and Statistics |
| spelling | doaj-art-908108df8751408b8e9f8bed5586d7302025-08-20T02:09:44ZengWileyJournal of Probability and Statistics1687-952X1687-95382012-01-01201210.1155/2012/640153640153Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and IssuesLang Wu0Wei Liu1Grace Y. Yi2Yangxin Huang3Department of Statistics, The University of British Columbia, Vancouver, BC, V6T 1Z2, CanadaDepartment of Mathematics and Statistics, York University, Toronto, ON, M3J 1P3, CanadaDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, N2L 3G1, CanadaDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL 33612, USAIn the past two decades, joint models of longitudinal and survival data have received much attention in the literature. These models are often desirable in the following situations: (i) survival models with measurement errors or missing data in time-dependent covariates, (ii) longitudinal models with informative dropouts, and (iii) a survival process and a longitudinal process are associated via latent variables. In these cases, separate inferences based on the longitudinal model and the survival model may lead to biased or inefficient results. In this paper, we provide a brief overview of joint models for longitudinal and survival data and commonly used methods, including the likelihood method and two-stage methods.http://dx.doi.org/10.1155/2012/640153 |
| spellingShingle | Lang Wu Wei Liu Grace Y. Yi Yangxin Huang Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues Journal of Probability and Statistics |
| title | Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues |
| title_full | Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues |
| title_fullStr | Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues |
| title_full_unstemmed | Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues |
| title_short | Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues |
| title_sort | analysis of longitudinal and survival data joint modeling inference methods and issues |
| url | http://dx.doi.org/10.1155/2012/640153 |
| work_keys_str_mv | AT langwu analysisoflongitudinalandsurvivaldatajointmodelinginferencemethodsandissues AT weiliu analysisoflongitudinalandsurvivaldatajointmodelinginferencemethodsandissues AT graceyyi analysisoflongitudinalandsurvivaldatajointmodelinginferencemethodsandissues AT yangxinhuang analysisoflongitudinalandsurvivaldatajointmodelinginferencemethodsandissues |