A0897
Title: Survival analysis with several classes of functional data as covariates
Authors: Yuko Araki - Tohoku University (Japan) [presenting]
Abstract: The survival analysis which contains several classes of functional data is investigated. First, we identify the length and class of individual trajectories by model selection and the proposed functional clustering method. Further, as a second stage, class information is used in the Cox proportional hazards regression models to assess the risk of mortality during the follow-up period. We assess the performance of the proposed model in a simulation study and its application to the long-term cohort study in Japan.
