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CE_13C | Mon, 8/10/2015, 8:30 AM - 5:00 PM | S-Grand Ballroom C | |
Joint Modeling of Longitudinal and Survival Data (ADDED FEE) — Professional Development Continuing Education Course | |||
ASA , Section on Statistics in Epidemiology | |||
We will examine in-depth statistical methods for joint modeling of longitudinal and survival data. Both frequentist and Bayesian approaches will be examined. The types of joint models to be discussed are selection models, pattern mixture models, and shared parameter models. We will discuss both linear mixed models and generalized linear mixed models for the longitudinal models and Cox-type, piecewise constant hazard, as well as cure rate models for the survival component. Both univariate and multivariate survival models will be discussed, as well as multivariate longitudinal models. Several types of applications also will be discussed, including ones in cancer, vaccine studies, quality-of-life studies, and AIDS research. Missing data issues also will be examined. SAS, winBUGS, and R software for fitting joint models will be illustrated in detail. | |||
Instructor(s): Joseph Ibrahim, The University of North Carolina |
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
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