Behnaz Alafchi1, Leili Tapak1,*, Hassan Doosti2, Christophe Chesneau3, Ghodratollah Roshanaei1
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2047-2064, 2023, DOI:10.32604/cmes.2022.022647
- 23 November 2022
Abstract Survival data with a multi-state structure are frequently observed in follow-up studies. An analytic approach based
on a multi-state model (MSM) should be used in longitudinal health studies in which a patient experiences a
sequence of clinical progression events. One main objective in the MSM framework is variable selection, where
attempts are made to identify the risk factors associated with the transition hazard rates or probabilities of disease
progression. The usual variable selection methods, including stepwise and penalized methods, do not provide
information about the importance of variables. In this context, we present a two-step More >
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