报告人：张佳佳（University of South Carolina, USA）
Title: A Varying-Coefficient Generalized Odds Rate Model with Time-Varying Exposure: An Application to Fitness and CVD Mortality
Abstract: Varying-coefficient models have become a common tool to determine whether and how the association between an exposure and an outcome changes over a continuous measure. These models are complicated when the exposure itself is time-varying and subjected to measurement error. For example, it is well known that longitudinal physical fitness has an impact on cardiovascular disease (CVD) mortality. It is not known, however, how the effect of longitudinal physical fitness on CVD mortality varies with age. In this paper, we propose a varying-coefficient generalized odds rate model that allows flexible estimation of age-modified effects of longitudinal physical fitness on CVD mortality. In our model, the longitudinal physical fitness is measured with error and modeled using a mixed effects model, and its associated age-varying coefficient function is represented by cubic B-splines. An expectation-maximization (EM) algorithm is developed to estimate the parameters in the joint models of longitudinal physical fitness and CVD mortality. A modified pseudo-adaptive Gaussian-Hermite quadrature method is adopted to compute the integrals with respect to random effects involved in the E-step. The performance of the proposed method is evaluated through extensive simulation studies and is further illustrated with an application to cohort data from the Aerobic Center Longitudinal Study.
张佳佳，博士，南卡罗来纳州大学流行病学和生物统计学系副教授，美国统计协会、泛华统计协会成员。张佳佳副教授先后在华东师范大学获学士、硕士学位、在Memorial University获博士学位。其主要研究领域包括Mixture Cure Models，Spatial Survival Models，Frailty Models，Precision Medicine，Joint Modelling，Competing Risk Model，Semiparametric Estimation Methods等。在Biometrika、Annals of Applied Statistics, Biometrics、Journal of Computational and Graphical Statistics等国际权威期刊上发表了高水平学术论文100余篇。