Book review: ARDO VAN DEN HOUT. Multi-State Survival Models for Interval-Censored Data
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Jackson, CH
Abstract
Multi-state models are stochastic processes that represent transitions of an individual between discrete states. In statistical modelling, they are used for two general kinds of data. Firstly, data where the state is known at any time during an individual's follow-up. Secondly, data where the state is only known at a finite series of times. In literature on multi-state models, it is not always instantly clear which of the two situations we are in, but the first case has perhaps been treated more extensively in textbooks (e.g. Beyersmann et al. 2011, Andersen et al. 1993).
Description
Keywords
49 Mathematical Sciences, 4905 Statistics
Journal Title
Biometrics
Conference Name
Journal ISSN
0006-341X
1541-0420
1541-0420
Volume Title
74
Publisher
Wiley-Blackwell
Publisher DOI
Sponsorship
MRC (unknown)