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363 | Tue, 8/11/2015, 10:30 AM - 12:20 PM | CC-617 | |
Methods for Risk Prediction — Contributed Papers | |||
Biometrics Section , International Chinese Statistical Association | |||
Chair(s): David Fardo, University of Kentucky | |||
10:35 AM | Evaluating the Predictive Performance of Biomarkers in Survival Models — Chao-Kang Jason Liang, University of Washington ; Patrick Heagerty, University of Washington | ||
10:50 AM | A Within-Subjects Permutation Approach for Comparing Predictive Ability of Two Continuous Predictors for a Survival Outcome — Ming-Wen An, Vassar College ; Gwenael Le Teuff, Université Paris Sud ; Stefan Michiels, Université Paris Sud | ||
11:05 AM | Prognostic Accuracy for Mixture Cure Models — Yilong Zhang, New York University School of Medicine ; Yongzhao Shao, New York University School of Medicine | ||
11:20 AM | Simple Approaches to Analyzing Self-Controlled Case Series (SCCS) Data — Sally Hunsberger, NIAID ; Michael Proschan, NIH/NIAID | ||
11:35 AM | Comparison of Conventional and Novel Risk-Prediction Methods Under High-Dimensional Setting — Cathy Jenkins, Vanderbilt University ; Dandan Liu, Vanderbilt University ; Sean Collins, Vanderbilt University ; Alan Storrow, Vanderbilt University ; Frank Harrell, Vanderbilt University | ||
11:50 AM | Compare the Discriminatory Ability of Biomarkers Subject to LOD Using Semiparametric Transformation Model — Lixuan Yin, George Mason University ; Guoqing Diao, George Mason University ; Aiyi Liu, NICHD/NIH | ||
12:05 PM | Using Available Information in the Assessment of Diagnostic Protocols — Cecilia Cotton, University of Waterloo ; Oana Danila, University of Waterloo ; Stefan Steiner, University of Waterloo ; Daniel Severn, University of Waterloo ; R. Jock MacKay, University of Waterloo |
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