Joint Modeling of Survival Data and Longitudinal Measurements Under Nested Case-Control Sampling
- 2009-07-08 (Wed.), 10:30 AM
- Auditorium, 2F, Tsai Yuan-Pei Memorial Hall
- Prof. Chi-Hong Tseng
- Department of Medicine University of California, Los Angeles, USA
Abstract
Nested case-control (NCC) design is a popular sampling method in large epidemiological studies for its cost effectiveness. In this talk, we demonstrate a joint modeling approach for the survival times and the longitudinal measurements of the risk factor under the nested case-control sampling. This approach allows repeated measures of the potential risk factor, where the standard conditional logistic regression approach is not applicable. We employ the EM-algorithm to carry out the maximum likelihood estimation and use an EM-aided profile likelihood approach to estimate the standard errors. Simulations are also conducted to show the validity and efficiency of our method.
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