IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication-Reference-Cited by-同舟云学术

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IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication

Published:2022-02-17 Issue:9 Volume:41 Page:1573-1598
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Cottin Aziliz¹^ORCID,Pecuchet Nicolas¹,Zulian Marine¹,Guilloux Agathe²³,Katsahian Sandrine⁴⁵⁶⁷

Affiliation:

1. Healthcare and Life Sciences Research Dassault Systemes Velizy‐Villacoublay France

2. CNRS Université Paris‐Saclay Paris France

3. Laboratoire de Mathématiques et Modélisation d'Evry Université d'Evry Evry‐Courcouronnes France

4. AP‐HP Hôpital Européen Georges Pompidou, Unité de Recherche Clinique, APHP Centre Paris France

5. Inserm Centre d'Investigation Clinique 1418 (CIC1418) Epidémiologie Clinique Paris France

6. Inserm Centre de recherche des Cordeliers, Sorbonne Université, Université de Paris Paris France

7. HeKA, INRIA PARIS Paris France

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9310

Reference56 articles.

1. Multi-stage models for the failure of complex systems, cascading disasters, and the onset of disease

2. A Systematic Model Specification Procedure for an Illness-Death Model without Recovery

3. Multiple time scales in multi-state models

4. Incidence and mortality of Alzheimer's disease or dementia using an illness-death model

5. Multi-state analysis of hypertension and mortality: application of semi-Markov model in a longitudinal cohort study

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