JSM 2017 Online Program

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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Disease progression returned 5 record(s)

Sunday, 07/30/2017

Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression
Xuelin Huang, M D Anderson Cancer Center; Fangrong Yan, China Pharmaceutical Univeristy; Ruosha Li, University of Texas Health Science Center at Houston; Jing Ning, University of Texas MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University/MD Anderson Cancer Center
4:30 PM

Monday, 07/31/2017

How Can Disease Progression Modeling Help Us Build Better Clinical Trials?
Melanie Quintana, Berry Consultants

Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich

Tuesday, 08/01/2017

Risk Screening for Alzheimer's Disease Progression with Volume Under the ROC Surface
Yu Cheng, University of Pittsburgh Department of Statistics
9:15 AM

Thursday, 08/03/2017

Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
Sheng Luo, The University of Texas Health Science Center at Houston; Kan Li, The University of Texas Health Science Center at Houston
8:55 AM

JSM 2017 Online Program

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ASA Meetings Department

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