Projections of health indicators for chronic disease under a semi-Markov assumption

DOI10.1016/J.TPB.2017.11.006zbMath1397.92377OpenAlexW2775814613WikidataQ47572327 ScholiaQ47572327MaRDI QIDQ1746137

Pierre Joly, Jean-François Dartigues, Hélène Jacqmin-Gadda, Mathilde Wanneveich

Publication date: 24 April 2018

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tpb.2017.11.006

zbMATH Keywords

projectionepidemiologydementiasemi-Markovmulti-states model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Medical applications (general) (92C50)

Related Items (1)

Determinants of birth-intervals in Algeria: a semi-Markov model analysis

Uses Software

• SmoothHazard

Cites Work

• Age- and time-dependent model of the prevalence of non-communicable diseases and application to dementia in Germany
• A new relation between prevalence and incidence of a chronic disease
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Prevalence Projections of Chronic Diseases and Impact of Public Health Intervention
• Choice between Semi‐parametric Estimators of Markov and Non‐Markov Multi‐state Models from Coarsened Observations
• A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia

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