Per Christian Hansen; Jakob Sauer Jørgensen; William R. B. Lionheart; Martin S. Andersen; K. Joost Batenburg; Yiqiu Dong Society for Industrial & Applied Mathematics,U.S. (2021) Pehmeäkantinen kirja
Sidsel Andersen; Johanne Bille; Dan Andersen; Per Bergström; Thomas Alm; Sara Ehnholm Hielm; Ingeri Engelstad; Jakob Kaae Ideella föreningen Autor (2022) Pehmeäkantinen kirja
Per Andersen; Mia Munster-Swendsen; Helle Vogt; Maurizio Lupoi; Alice Rio; Charles M. Radding; Martin Brett; Brasington DJOFPublishing (2007) Pehmeäkantinen kirja
Taylor & Francis Ltd Sivumäärä: 278 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2023, 11.10.2023 (lisätietoa) Kieli: Englanti
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 .
