Bayesian joint modeling of longitudinal and spatial survival AIDS data

Author:

Martins Rui1ORCID,Silva Giovani L.23,Andreozzi Valeska24

Affiliation:

1. Centro de Investigação Interdisciplinar Egas Moniz (ciiEM); Escola Superior de Saúde Egas Moniz; Quinta da Granja, Monte de Caparica Caparica 2829-511 Portugal

2. Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL); Bloco C6, Piso 4Campo Grande Lisbon 1749-016 Portugal

3. Departamento de Matemática, Instituto Superior Técnico; Universidade de Lisboa; Av. Rovisco Pais, 1 Lisbon 1049-001 Portugal

4. Faculdade de Ciências Médicas da Universidade Nova de Lisboa; Campo Mártires da Pátria, 130 Lisbon 1169-056 Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference49 articles.

1. Joint modeling of longitudinal and time-to-event data: an overview;Tsiatis;Statistica Sinica,2004

2. Modelling the relationship of survival to longitudinal data measured with error: applications to survival CD4 counts in patients with AIDS;Tsiatis;Journal of the American Statistical Association,1995

3. Simultaneously modelling censored survival data and repeatedly measured covariates: a Gibbs sampling approach;Faucett;Statistics in Medicine,1996

4. Jointly modelling longitudinal and event time data, with applications to AIDS studies;Wang;Journal of the American Statistical Association,2001

5. Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable;Ibrahim;Biometrika,2001

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