Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome

DOI10.1007/s10985-018-09460-yzbMath1436.62548OpenAlexW2909292901WikidataQ91126640 ScholiaQ91126640MaRDI QIDQ2305787

Vernon T. Farewell, Li Su, Christopher Jackson

Publication date: 16 March 2020

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-018-09460-y

zbMATH Keywords

hidden multi-state modellingprolonged disease state

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• R
• msm

Cites Work

• Semi-Markov Models with Phase-Type Sojourn Distributions
• A multistate model for events defined by prolonged observation
• Partial and latent ignorability in missing-data problems
• The Analysis of Panel Data Under a Markov Assumption
• Markov Chains With Measurement Error: Estimating the `True' Course of a Marker of the Progression of Human Immunodeficiency Virus Disease
• Unnamed Item

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