Statistics: It's Essential
July 29 - August 3, 2017
Baltimore Convention Center
JSM 2017 Online Program
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returned 7 record(s)
Monday, 07/31/2017
Dynamic Prediction of End-Stage Renal Disease Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease
Liang Li, University of Texas MD Anderson Cancer Center
2:25 PM
Tuesday, 08/01/2017
Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
10:35 AM
Wednesday, 08/02/2017
Comparison of Joint Modeling and Landmarking for Dynamic Prediction Under an Illness-Death Model
Krithika Suresh, University of Michigan; Jeremy M. G. Taylor, University of Michigan; Alex Tsodikov, University of Michigan
11:35 AM
Thursday, 08/03/2017
Dynamic Predictions Based on Joint Models
Jeremy M. G. Taylor, University of Michigan; Krithika Suresh, University of Michigan; Alex Tsodikov, University of Michigan
10:35 AM
Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM
Robust Estimators for the Evaluation of Multiple Surrogate Markers with Censored Data
Layla Parast, RAND Corporation; Tianxi Cai, Harvard University; Lu Tian, Stanford University
11:25 AM