Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
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Models for Multi-State Survival Data : Rates, Risks, and Pseudo-Values. / Andersen, Per Kragh; Ravn, Henrik; Furberg, Julie Kjærulff (Illustrator).
CRC Press, 2024. 292 p.Research output: Book/Report › Book › Research › peer-review
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TY - BOOK
T1 - Models for Multi-State Survival Data
T2 - Rates, Risks, and Pseudo-Values
AU - Andersen, Per Kragh
AU - Ravn, Henrik
A2 - Furberg, Julie Kjærulff
N1 - Publisher Copyright: © 2024 Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - 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. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject. Key Features: • Intensity-based and marginal models • Survival data, competing risks, illness-death models, recurrent events • Includes a full chapter on pseudo-values • Intuitive introductions and mathematical details • Practical examples of event history data • Exercises Software code in R and SAS and the data used in the book can be found on the book’s webpage.
AB - 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. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject. Key Features: • Intensity-based and marginal models • Survival data, competing risks, illness-death models, recurrent events • Includes a full chapter on pseudo-values • Intuitive introductions and mathematical details • Practical examples of event history data • Exercises Software code in R and SAS and the data used in the book can be found on the book’s webpage.
U2 - 10.1201/9780429029684
DO - 10.1201/9780429029684
M3 - Book
AN - SCOPUS:85169347018
SN - 978-0-367-14002-1
SN - 978-1-032-56869-0
BT - Models for Multi-State Survival Data
PB - CRC Press
ER -
ID: 390450119