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Communications in Statistics - Theory and Methods Volume 33, 2004 - Issue 6
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Original Articles

Multi-state Model for Dementia, Institutionalization, and Death

Daniel Commenges Equipe de Biostatistique INSERM E03 38, ISPED, Bordeaux, France; Equipe de Biostatistique INSERM E03 38, ISPED, 146 rue Léo Saignat, Bordeaux, 33076, FranceCorrespondence[email protected]
&
Pierre Joly Equipe de Biostatistique INSERM E03 38, ISPED, Bordeaux, France
Pages 1315-1326 | Published online: 15 Feb 2007

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Yang-Jin Kim. (2014) Regression Analysis of Bivariate Current Status Data Using a Multistate Model. Communications in Statistics - Simulation and Computation 43:3, pages 462-475.
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R. A. Hubbard & X. H. Zhou. (2011) A comparison of non-homogeneous Markov regression models with application to Alzheimer's disease progression. Journal of Applied Statistics 38:10, pages 2313-2326.
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Articles from other publishers (12)

Juan Eloy Ruiz-Castro & Mariangela Zenga. (2019) A general piecewise multi-state survival model: application to breast cancer. Statistical Methods & Applications 29:4, pages 813-843.
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Ye In Jane Hwang, Olayan Albalawi, Armita Adily, Malcolm Hudson, Handan Wand, Azar Kariminia, Colman O’Driscoll, Stephen Allnutt, Luke Grant, Grant Sara, James Ogloff, David Mace Greenberg & Tony Butler. (2020) Disengagement from mental health treatment and re-offending in those with psychosis: a multi-state model of linked data. Social Psychiatry and Psychiatric Epidemiology 55:12, pages 1639-1648.
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Michel Fuino & Joël Wagner. (2018) Long-term care models and dependence probability tables by acuity level: New empirical evidence from Switzerland. Insurance: Mathematics and Economics 81, pages 51-70.
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Francesca Ieva, Christopher H Jackson & Linda D Sharples. (2015) Multi-state modelling of repeated hospitalisation and death in patients with heart failure: The use of large administrative databases in clinical epidemiology. Statistical Methods in Medical Research 26:3, pages 1350-1372.
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Wolfgang Hess, Larissa Schwarzkopf, Matthias Hunger & Rolf Holle. (2014) Competing-risks duration models with correlated random effects: an application to dementia patients’ transition histories. Statistics in Medicine 33:22, pages 3919-3931.
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Yun-Hee Choi, Laurent Briollais, Jane Green, Patrick Parfrey & Karen Kopciuk. (2014) Estimating successive cancer risks in Lynch Syndrome families using a progressive three-state model. Statistics in Medicine 33:4, pages 618-638.
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Binbing Yu, Jane S. Saczynski & Lenore Launer. (2010) Multiple imputation for estimating the risk of developing dementia and its impact on survival. Biometrical Journal 52:5, pages 616-627.
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Lei Yu, William S. Griffith, Suzanne L. Tyas, David A. Snowdon & Richard J. Kryscio. (2010) A nonstationary Markov transition model for computing the relative risk of dementia before death. Statistics in Medicine 29:6, pages 639-648.
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Pierre JolyCécile Durand, Catherine Helmer & Daniel Commenges. (2009) Estimating life expectancy of demented and institutionalized subjects from interval-censored observations of a multi-state model. Statistical Modelling 9:4, pages 345-360.
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DANIEL COMMENGES & ANNE GÉGOUT-PETIT. (2007) Likelihood for Generally Coarsened Observations from Multistate or Counting Process Models. Scandinavian Journal of Statistics 34:2, pages 432-450.
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DANIEL COMMENGES & ANNE GÉGOUT-PETIT. (2007) Likelihood for Generally Coarsened Observations from Multistate or Counting Process Models. Scandinavian Journal of Statistics 34:2, pages 432-450.
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DANIEL COMMENGES, PIERRE JOLY, ANNE GÉGOUT-PETIT & BENOIT LIQUET. (2007) Choice between Semi-parametric Estimators of Markov and Non-Markov Multi-state Models from Coarsened Observations. Scandinavian Journal of Statistics 34:1, pages 33-52.
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