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Keyword Search Criteria: Prediction Model returned 19 record(s)
Sunday, 07/29/2018
P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center


P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:00 PM

Monday, 07/30/2018
Widespread (Unintentional) Corruption of Cross Validation Techniques for Prediction Models on Imputed Data Sets
Milo Page, NC State University/JMP; Alyson Wilson, North Carolina State University; Chris Gotwalt, JMP


Methods for Estimating Points Based Risk Score for Binary Clinical Outcome
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Muditha Perera, Texas Tech University Health Sciences Center El Paso; Durgesh Kumar Dwivedi, University of Texas Southwestern Medical Center; Anit Parihar, King George's Medical University; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
10:05 AM

Combining Breast Cancer Risk Prediction Models
Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
11:50 AM

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
3:15 PM

Tuesday, 07/31/2018
Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel


The Impact of Different Sources of Heterogeneity on Loss of Accuracy from Genomic Prediction Models
Levi Waldron, CUNY School of Public Health
10:55 AM

Spatial Statistics Vs Machine Learning: Evaluating Air Pollution Exposure Prediction Models
Gregory Watson, UCLA; Donatello Telesca, UCLA
11:20 AM

Wednesday, 08/01/2018
Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers
Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:15 AM

Missing Imputation of Cancer Proteome with Iterative Prediction Model
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
9:50 AM

Sparse Functional Partial Least Squares Method for Spectral Analysis
Jiguo Cao, Simon Fraser University; Tianyu Guan, Simon Fraser University; Kevin Groves, FPInnovation; Martin Feng, FPInnovation
11:00 AM

Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute; Eva Petkova, NYU School of Medicine
11:15 AM

Evaluating Disease Prediction Models Using a Cohort Whose Covariate Distribution Differs from That of the Target Population
Alice S Whittemore, Stanford University
2:55 PM

Using Imputation Methods to Predict Listing Housing Unit Counts for Small Geographies
Courtney Hill, U.S. Census Bureau; Timothy Kennel, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau
3:05 PM

Population-Based Disease Risk Prediction Modeling Using National Survey, Clinical, and Registry Data: Application to Risk Prediction for Oropharyngeal Cancer in the US Population
Barry Ira Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute
3:20 PM

Add Time Dimension to the Prediction: a Multi-Stage, Sequential Prediction Model
Zheng Zhang, Brown University
3:35 PM

Thursday, 08/02/2018
Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multivariate Longitudinal Biomarkers
Cai Wu, Merck & Co.; Liang Li, UT MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health
8:50 AM

Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics
Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat GarcĂ­a-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM