演講公告

東海大學統計系學術演講20170103

公告時間:2016-12-26 12:40:54
公告單位:統計學系

 

 

 

 東海大學統計學系學術演講

時 間:106年1 月 3日(星期二下午14:10~15:00)

地 點:管理學院新大樓M367

主講人:陳珍信 研究員 (中研院統計科學研究所)

講 題:Some Event-History Models Useful for Biobank Studies

Abstract

During the recent decade, biobanks have become
novel population-based research resources and frameworks to delineate separate
effects and interactions of genetic, environmental, and lifestyle factors for
specific complex diseases in different ethnic groups. Incomplete time-to-event
data arise from longitudinal follow-ups in these studies so that mixture cure
regression model will be useful for the biobank researchers to utilize in data
analysis.

We recently proposed parametric (Chen, Tsay, Wu and Horng, 2013) and

semiparametric (Chen and Chen, 2016) mixture cure models
with graphical goodness-of-fit procedures based on residuals to illustrate the
model selections. Taking account of study subjects' different ages at study
entry, we have applied the mixture cure models to identify onset sequences
among the five cardiometabolic diseases related to metabolic syndrome across
subpopulations (Tsay, Chen and Pan, 2016). To predict the lifetime risks of
hepatoma for HBsAg-seropositive male cases in a Taiwanese cohort, we have
generalized the mover-stayer model to analyze the multi-path progression from
chronic hepatitis B to hepatoma, possibly via cirrhosis, and ending with
HBV-related death or non-HBV-related death. These regression analysis methods
can also be applied to the analysis and interpretation for studying complex
diseases in research of epidemiology and biobanks.

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