Models for multi-state survival data : rates, risks, and pseudo-values / by Per Kragh Andersen and Henrik Ravn ; figures by Julie Kjaerulff Furberg. English
Material type:
TextSeries: Chapman & Hall/CRC texts in statistical sciencesPublication details: Boca Raton : CRC Press, Taylor and Francis Group, 2024Edition: 1stDescription: xiv, 278 p. illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780367140021 (hbk.)Subject(s): Survival analysis (Biometry) | Clinical trials -- Statistical methods | Statistics | Models for Multi State Survival DataAdditional physical formats: Online version:: Models for multi-state survival dataDDC classification: 610.724 Summary: "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"-- Provided by publisher.
| Item type | Current library | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Books | Jayakar Knowledge Resource Centre | Jayakar Knowledge Resource Centre | 610.724 AND.P (Browse shelf(Opens below)) | Available | 76.99 Pound | 519077 |
Includes bibliographical references (pages 261-270) and index.
"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"-- Provided by publisher.
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