Author/Editor		Andersen Kragh, Per; Sparre Wandall, Eva Nina; Pohar Perme, Maja
Title		Inference for transition probabilities in non-Markov multi-state models
Type		članek
Vol. and No.		Letnik iss. , št. Vol.
Publication year		2022
Volume		str. str.
ISSN		1380-7870 - Lifetime data analysis
Language		eng
Abstract		Multi-state models are frequently used when data come from subjects observed over time and where focus is on the occurrence of events that the subjects may experience. A convenient modeling assumption is that the multi-state stochastic process is Marko- vian, in which case a number of methods are available when doing inference for both transition intensities and transition probabilities. The Markov assumption, however, is quite strict and may not fit actual data in a satisfactory way. Therefore, inference methods for non-Markov models are needed. In this paper, we review methods for estimating transition probabilities in such models and suggest ways of doing regres- sion analysis based on pseudo observations. In particular, we will compare methods using land-marking with methods using plug-in. The methods are illustrated using simulations and practical examples from medical research.
Keywords		statistics survival non-Markov multi-state models statistika preživetje ne-Markovljevi modeli več stanj