Comparison of Selected Methods for Modeling of Multi-State Disease Progression Processes: A Simulation Study

DOI10.1080/03610918.2011.575505zbMath1284.62657OpenAlexW2029739696MaRDI QIDQ3102891

Michał Abrahamowicz, Ahmadou Alioum, Ella Huszti, Catherine Quantin

Publication date: 25 November 2011

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.575505

zbMATH Keywords

simulationMarkov modelCox's PH modelmulti-event process

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Cites Work

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• Multi-state models: A review
• Survival analysis. Techniques for censored and truncated data.
• Multi-state models in epidemiology
• Nonparametric Estimation in a Markov “Illness–Death” Process from Interval Censored Observations with Missing Intermediate Transition Status
• Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Multi-state models for event history analysis

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