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An overview and recent developments in the analysis of multistate processes
ID Gorfine, Malka (Author), ID Cook, Richard John (Author), ID Andersen, Per Kragh (Author), ID Therneau, Terry M. (Author), ID Joly, Pierre (Author), ID Putter, Hein (Author), ID Pohar Perme, Maja (Author), ID Abrahamowicz, Michal (Author)

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Abstract
Multistate models offer a powerful framework for studying disease processes and can be used to formulate intensity-based and more descriptive marginal regression models. They also represent a natural foundation for the construction of joint models for disease processes and dynamic marker processes, as well as joint models incorporating random censoring and intermittent observation times. This article reviews the ways multistate models can be formed and fitted to life history data. Recent work on pseudo-values and the incorporation of random effects to model dependence on the process history and between-process heterogeneity are also discussed. The software available to facilitate such analyses is listed.

Language:English
Keywords:frailty, process history, pseudo-values, state occupancy probability, time‐dependent covariates, transition intensity
Work type:Article
Typology:1.02 - Review Article
Organization:MF - Faculty of Medicine
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:27 str.
Numbering:Vol. 45, iss. 10/12, art. e70493
PID:20.500.12556/RUL-182758 This link opens in a new window
UDC:311:519.24
ISSN on article:0277-6715
DOI:10.1002/sim.70493 This link opens in a new window
COBISS.SI-ID:278917379 This link opens in a new window
Publication date in RUL:22.05.2026
Views:352
Downloads:260
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Record is a part of a journal

Title:Statistics in medicine
Shortened title:Stat. med.
Publisher:Wiley
ISSN:0277-6715
COBISS.SI-ID:502292 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:krhkost, zgodovina procesa, psevdovrednosti, verjetnost zasedenosti stanja, časovno odvisne kovariance, intenziteta prehoda

Projects

Funder:Israel Science Foundation
Project number:767/21

Funder:TAD - Tel Aviv University, Center for AI and Data Science

Funder:Natural Sciences and Engineering Research Council of Canada
Funding programme:Discovery Grant
Project number:RGPIN-2017-04207

Funder:Canadian Institutes of Health Research
Project number:FRN 13887

Funder:McGill University
Funding programme:Distinguished James McGill Professor, Biostatistics

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0154
Name:Metodologija za analizo podatkov v medicini

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