Models for Multi-State Survival Data - Per Kragh Andersen, Henrik Ravn

Models for Multi-State Survival Data

Rates, Risks, and Pseudo-Values
Buch | Hardcover
278 Seiten
2023
Chapman & Hall/CRC (Verlag)
978-0-367-14002-1 (ISBN)
95,95 inkl. MwSt
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, as well as solutions to the exercises, can be found on the book’s webpage: https://multi-state-book.github.io/companion .

Henrik Ravn is senior statistical director at Novo Nordisk A/S, Denmark. He graduated with an MSc in theoretical statistics in 1992 from University of Aarhus, Denmark and completed a PhD in biostatistics in 2002 from the University of Copenhagen, Denmark. He joined Novo Nordisk in late 2015 after more than 22 years of experience from biostatistical and epidemiological research, at Statens Serum Institut, Denmark and in Guinea-Bissau, West Africa. He has co-authored more than 160 papers, mainly within epidemiology and application of survival analysis and has taught several courses as external lecturer at Section of Biostatistics, University of Copenhagen. 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.

1. Introduction 2. Intuition for intensity models 3. Intensity models 4. Intuition for marginal models 5. Marginal models 6. Pseudo-values 7. Further topics

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Texts in Statistical Science
Zusatzinfo 70 Tables, black and white; 94 Line drawings, black and white; 94 Illustrations, black and white
Sprache englisch
Maße 178 x 254 mm
Gewicht 700 g
Themenwelt Mathematik / Informatik Mathematik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Naturwissenschaften Biologie
ISBN-10 0-367-14002-0 / 0367140020
ISBN-13 978-0-367-14002-1 / 9780367140021
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
ein überfälliges Gespräch zu einer Pandemie, die nicht die letzte …

von Christian Drosten; Georg Mascolo

Buch | Hardcover (2024)
Ullstein Buchverlage
24,99

von Matthias Egger; Oliver Razum; Anita Rieder

Buch | Softcover (2021)
De Gruyter (Verlag)
59,95