- Continuing education on recent advances in biostatistics
|Talks focused on translating recent advances in biostatistics into practice.||Biostatistics Seminar Series|
During the 2013-14 academic year, the Harvard Catalyst Biostatistics Program will present a series of talks based on recent advances in biostatistics, but with a focus on translation of those ideas to biostatistical practice. Speakers will provide detailed examples of the application of methods, often including discussion of software, code, and worked examples.
Tianxi Cai, ScD
Professor in the Department of Biostatistics, Harvard School of Public Health
May 5, 2014
Harvard School of Public Health, FXB G-12
To evaluate the clinical utility of new biomarkers for risk prediction, a crucial step is to measure their predictive accuracy with prospective studies. However, it is often unfeasible to obtain marker values for all study participants. The nested case-control (NCC) design is a useful cost-effective strategy for such settings. Under the NCC design, markers are only ascertained for cases and a fraction of controls sampled randomly from the risk sets. The outcome dependent sampling generates a complex data structure and therefore a challenge for analysis. Existing methods for analyzing NCC studies focus primarily on association measures. In this talk, I will discuss several approaches to evaluating risk prediction models with NCC studies. The new procedures will be illustrated with data from the Nurse's Health Study to evaluate the accuracy of biomarkers and genetic markers for predicting the risk of developing Rheumatoid Arthritis.