Models for Multi-State Survival Data (ePub)
Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health.
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Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health.
Per Kragh Andersen is professor of biostatistics at the Department of Public Health, University of Copenhagen, Denmark since 1998. He graduated in mathematical statistics from University of Copenhagen in 1978, got his PhD in 1982 and a DMSc degree in 1997. From 1993 to 2002 he worked half time as chief statistician at Danish Epidemiology Science. He is an author or co-author of more than 125 papers on statistical methodology and more than 250 papers in the medical literature. His research has concentrated on survival analysis and he is a co-author of the 1993 book 'Statistical Models Based on Counting Processes'. He has taught several courses both nationally and internationally both for students with a mathematical background and for students in medicine or public health.
- Autoren: Per Kragh Andersen , Henrik Ravn
- 2023, 1. Auflage, 292 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 0429639090
- ISBN-13: 9780429639098
- Erscheinungsdatum: 11.10.2023
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- Dateiformat: ePub
- Grösse: 5.18 MB
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