JSM 2017 Online Program

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

Keyword Search Criteria: Prediction returned 113 record(s)

Sunday, 07/30/2017

Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
John Tipton, Colorado State University; Mevin Hooten, Colorado State University

Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments
Alexandra Chouldechova, Carnegie Mellon University

Integrative Boosting with Multiple Genomic Platforms Improves Prediction Accuracy for Survival Time in Cancer Patients
Kin Yau Wong, The University of North Carolina at Chapel Hill; Cheng Fan, The University of North Carolina at Chapel Hill; Maki Tanoika , The University of North Carolina at Chapel Hill; Joel S. Parker, The University of North Carolina at Chapel Hill; Andrew B. Nobel, The University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina; Charles M. Perou, The University of North Carolina at Chapel Hill
2:20 PM

A General Algorithm for Computing Simultaneous Prediction Intervals for the (Log)-Location-Scale Family of Distributions
William Meeker, Iowa State University; Yimeng Xie, Virginia Tech; Yili Hong, Virginia Tech; Luis A Escobar, Louisiana State University
2:35 PM

Bayesian Functional Single Index-Interaction Model for Cognition Prediction
Kumaresh Dhara, Florida State University; Debdeep Pati, Florida State University; Debajyoti Sinha, Florida State University
2:50 PM

Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction
Naim Rashid, University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
3:20 PM

On Corporate Bankruptcy Prediction
Yan Yu, University of Cincinnati; Aidong Ding, Northeastern University; Shaonan Tian, San Jose State University; Hui Guo, University of Cincinnati
4:05 PM

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

Bayesian Regression Using an Approximated Solution to the Penalized Least Squares Minimization Problem
Eduardo Trujillo Rivera
5:25 PM

Monday, 07/31/2017

Survival Prediction in Early-Stage Lung Cancer via Bayesian Model Averaging of Nonparametric Accelerated Failure Time Models
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University ; Dai Feng, Merck

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

Dynamic Prediction of Acute Graft-Versus-Host Disease (AGVHD) Using Longitudinal Biomarkers
Yumeng Li

Variable Selection and Penalized Regression Methods for Clinical Projects: Practical Issues
Anne Eaton; Mithat Gönen, Memorial Sloan Kettering Cancer Center

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois

Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university

Model Comparison for Hip Fracture Patients Hospital Readmission Prediction
Qingqing Dai, Oklahoma State University; Zhuqi Miao, Oklahoma State University; lan zhu, oklahoma state university; Scott Shepherd, Oklahoma State University; William Paiva, Oklahoma State University

Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data
Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine

Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.

Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM

Statistical Methods for Prediction of High-Performance Computing I/O Variability
Li Xu, Virginia Tech
8:50 AM

Empirical Bayes Learning from Co-Data in High-Dimensional Prediction Settings
Mark Van De Wiel, VU University medical center
9:35 AM

Improving Dynamic Predictions from Joint Models of Longitudinal and Survival Data Using Time-Varying Effects
Dimitris Rizopoulos, Erasmus University Medical Center
10:35 AM

Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources
Nilanjan Chatterjee, Johns Hopkins University; Runlong Tang, Johns Hopkins University; Prosenjit Kundu, Johns Hopkins University
10:35 AM

Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university
10:45 AM

Predicting Sample Attrition in a National Study of Medicare Beneficiaries
Christopher Ward, NORC; Rebecca Reimer, NORC; Shannon Corcoran, Centers for Medicare and Medicaid Services; Nicholas Schluterman, Centers for Medicare and Medicaid Services
10:50 AM

Risk Prediction from the Combination of Longitudinal Biomarkers Subject to Informative Missingness
Jiwei Zhao, State University of New York at Buffalo
10:55 AM

A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics
Stephen Strother, Baycrest & University of Toronto; Cheryl Grady, Baycrest & University of Toronto
11:00 AM

Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data
Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
11:00 AM

A Temporal Appraisal of Profitability in the Fortune 500: 1955 - 2016
Leo Upchurch, Tuskegee University (CBIS); Fan University Wu, Tuskegee University (CBIS)
11:20 AM

Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
11:55 AM

Metabolite Prediction in the Human Microbiome
Himel Mallick, Harvard University; Eric A. Franzosa, Harvard University; Lauren J. Mclver, Harvard University; Soumya Banerjee, University of Oxford; Alexandra Sirota-Madi, Evelo Biosciences; Aleksandar D. Kostic, Harvard University; Clary B. Clish, Broad Institute; Hera Vlamakis, Broad Institute; Ramnik Xavier, Massachusetts General Hospital; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:05 PM

A Risk Stratification Approach for Improved Interpretation of Diagnostic Accuracy Statistics
Hormuzd Katki, National Cancer Institute; Mark Schiffman, National Cancer Institute
2:05 PM

Predictive Evidence Threshold Scaling: Does the Evidence Meet a Confirmatory Standard?
Satrajit Roychoudhury, Pfizer Inc; Beat Neuenschwander, Novartis Pharma AG; Michael Branson, Novartis Pharma AG
2:20 PM

Prediction Uncertainty for Autocorrelated Lognormal Data with Random Effects
Matthew Avery
2:20 PM

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

Evaluating Risk Prediction Tests to Guide Decisions on Prophylactic Treatment
Gene Pennello, Food and Drug Administration; Robert L Becker, Food and Drug Administration
3:25 PM

Marginally Interpretable Generalized Linear Mixed Models
Jeffrey J Gory, The Ohio State University; Peter F Craigmile, The Ohio State University; Steven MacEachern, The Ohio State University
3:35 PM

Tuesday, 08/01/2017

Medicare Risk Adjustment with Systematically Missing Data
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Thomas G. McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School

Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective
Xuehan Ren

A prediction model for understanding statistical replication
Andrew Neath, SIU Edwardsville

Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center

Multi-Way Interacting Regression via Factorization Machines
Mikhail Yurochkin; Long Nguyen, University of Michigan; Nikolaos Vasiloglou, Infor

Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology

Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst

Nonparametric Prediction and the Exoplanet Mass-Radius Relationship
Bo Ning, North Carolina State University

Predicting the Next Decade
Timothy DelSole
8:35 AM

A focused mean squared error approach for selecting tuning parameters in penalized regression
Kristoffer Hellton, University of Oslo; Nils Lid Hjort, University of Oslo
9:05 AM

Structural Image Analysis for Improved Prediction of Patient Outcomes
Ani Eloyan, Brown University
9:25 AM

Quantile Residual Life Regression with Longitudinal Biomarker Measurements for Dynamic Prediction
Ruosha Li, University of Texas Health Science Center at Houston; Xuelin Huang, M D Anderson Cancer Center
9:35 AM

Statistical Modeling of Crowdsourced Content for the Prediction of Crime
Matthew Gerber, University of Virginia
9:50 AM

Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM

A Joint Model Approach for Longitudinal Data with No Time Zero and Time-To-Event with a Competing Risk
Sung Duk Kim, National Cancer Institute/NIH; Olive Buhule, NICHD/NIH; Paul S. Albert, National Cancer Institute/NIH
9:50 AM

Informing Oregon Forestry Rule Change Decisions with a Bayesian Hierarchical Model
Jeremiah Groom, Department of Statistics; Lisa Madsen, Department of Statistics
9:50 AM

Progression Risk Prediction with Copula Model in Age-Related Macular Degeneration (AMD) Patients
Ying Ding, University of Pittsburgh; Yi Liu; Wei Chen, University of Pittsburgh
9:55 AM

Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst
10:10 AM

Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM

A prediction model for understanding statistical replication
Andrew Neath, SIU Edwardsville
10:40 AM

Dissecting Genetic Architecture of Complex Diseases Through Integrated Genomic Analysis
Hongyu Zhao, Yale University
10:55 AM

Time Series Prediction and Predictor Selection in High-Dimensional Quantile Autoregressive Regression
Dawit Zerom, California State University at Fullerton
11:05 AM

Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology
11:10 AM

Predicting Industry Output with Statistical Learning Methods
Peter Meyer, U.S. Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics
11:20 AM

A LAG FUNCTIONAL LINEAR MODEL for PREDICTION of MAGNETIZATION TRANSFER RATIO in MULTIPLE SCLEROSIS LESIONS
Gina-Maria Pomann, Duke University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Edgar Lobaton, North Carolina State University ; Amanda Mejia, Indiana University; Blake Dewey, NINDS; Daniel Reich, NINDS; Elizabeth M. Sweeney, Flatiron Health; Russell Shinohara, University of Pennsylvania
11:50 AM

Robust Genetic Prediction of Complex Traits with the Latent Dirichlet Process Regression Models
Xiang Zhou, University of Michigan; Ping Zeng, University of Michigan
11:55 AM

Estimating a Network from Multiple Noisy Realizations
Can Le, University of California Davis; Liza Levina, University of Michigan
11:55 AM

Multi-Way Interacting Regression via Factorization Machines
Mikhail Yurochkin; Long Nguyen, University of Michigan; Nikolaos Vasiloglou, Infor
12:10 PM

A Comparison of Statistical Methods to Evaluate the Relationship Between Gestational Weight Gain and Gestational Age at Birth
Lucia Petito, University of California, Berkeley; Nicholas P. Jewell, University of California, Berkeley
2:35 PM

Measures of Predictive Model Performance and Event Rate: How Much They Vary and How to Make Them Comparable Across Studies
Olga Demler, Harvard Medical School; Nancy R. Cook, Harvard T. H. Chan School of Public Health
2:35 PM

Design Based Estimates of Model Based Parameters
Eric Morenz, McGill University; Russell Steele, McGill University; Ana Velly, Jewish General Hospital, McGill University
2:50 PM

Bayesian Spatial Stream Network Models
Kristin Broms, Colorado State University; Mevin Hooten, Colorado State University; Ryan M. Fitzpatrick, Colorado Parks and Wildlife
2:50 PM

A Unit Level Model for Prediction of Categorical Data with Auxiliary Information
Gabriel Demuth, Iowa State University; Emily Berg, Iowa State University; Zhengyuan Zhu, Iowa State University; Philip M Dixon, Iowa State University
3:20 PM

Adaptive Detection of Variance Change Point
Santosh Srivastava, IBM Research, New Delhi India; Ritwik Chaudhuri, IBM India Pvt. ltd.; Ankur Narang, IBM Research New Delhi India; Maya Gupta, Google Research; Sudhanshu Singh, IBM India Pvt. ltd.
3:35 PM

Power Analysis and Sample Determination in Dynamic Risk Prediction
Zhaowen Sun; Chung-Chou H. Chang, University of Pittsburgh
3:35 PM

Wednesday, 08/02/2017

An in Depth Analysis of the Double EWMA CC Based on a Linear Prediction
Rafael Perez Abreu, University of Northen Colorado; Jay Schaffer, University of Northern Colorado

Dynamic Linear Model Forecasts for Wind Direction and Speed
Patrick Edmonds, Iowa State University; Cindy L Yu, Iowa State University

Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University

Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews
Corrado Lanera, University of Padova; Ileana Baldi, University of Padova; Clara Minto, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino

Regression-Enhanced Random Forests
Haozhe Zhang, Iowa State University; Dan Nettleton, Iowa State University; Zhengyuan Zhu, Iowa State University
8:45 AM

Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions
Kalimuthu Krishnamoorthy, Univ of Louisiana
8:50 AM

Designing Computer Experiments to Maximize Prediction Accuracy
Erin Leatherman, West Virginia University; Angela Dean, The Ohio State University; Thomas Santner, The Ohio State University
8:55 AM

Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM

Semiparametric Regression Modeling and Transition-Probability Prediction with Correlated Interval Censored Life-History Data
Daewoo Pak, Michigan State University; Chenxi Li, Michigan State University; David Todem, Michigan State University
9:50 AM

Building Quantitative Structure?Activity Relationship Models Using Bayesian Additive Regression Trees
Dai Feng, Merck; Matthew Pratola, The Ohio State University; Robert McCulloch, Arizona State University; Vladimir Svetnik, Merck & Co., Inc.
9:50 AM

Prediction of Pedestrian and Cyclist Accident Rates for City Streets and Intersections
Alex Zolot, HERE; Wanli Cheng, HERE; Rod Megraw, HERE
10:35 AM

Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:55 AM

Machine Learning Methods in the Statistical Prediction of Health Outcomes
William Padula, Johns Hopkins Bloomberg SPH
10:55 AM

Optimal Sparse Linear Prediction for Block-Missing Multi-Modality Data Without Imputation
Guan Yu, State University of New York at Buffalo; Quefeng Li, The University of North Carolina at Chapel Hill; Dinggang Shen, The University of North Carolina at Chapel Hill; Yufeng Liu, University of North Carolina
11:15 AM

Comparison of Approaches for Incorporating New Information into Existing Risk Prediction Models
Ruth Pfeiffer , National Cancer Institute, NIH, HHS; Sonja Grill, Technical University of Munich; Donna Ankerst , Technical University of Munich; Mitchell Gail , National Cancer Institute, NIH, HHS; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM

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

Standardizing Assessment of Time-Series Forecasting Models
Nicholas G. Reich, University of Massachusetts Amherst; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health; Stephen Lauer, University of Massachusetts - Amherst; Krzysztof Sakrejda, University of Massachusetts - Amherst; Justin Lessler, Johns Hopkins Bloomberg School of Public Health
11:35 AM

In-Curve Updating of Predictions for Functional Time Series
Shuhao Jiao, Department of Statistics, UC Davis; Alexander Aue, University of California, Davis
2:05 PM

A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM

Harmonic Bayesian Prediction Under Alpha-Divergence
Yuzo Maruyama, The University of Tokyo
2:45 PM

Shrinkage Priors for Poisson-Based Models and Their Applications
Fumiyasu Komaki, The University of Tokyo
3:05 PM

Thursday, 08/03/2017

Dynamic Prediction Intervals for Functional Data
Nicholas Rios, Montclair State University; Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
8:35 AM

On Estimating Predictive Performance Measures of Risk Prediction Models with External Validation Data
Hajime Uno, Dana Farber Cancer Institute; Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
8:50 AM

Estimation from Purposive Samples with the Aid of Probability Supplements but Without Data on the Study Variable
Avinash Singh, American Institutes for Research; Vladislav Beresovsky, National Center for Health Statistics; Cong Ye, American Institutes for Reserach
8:50 AM

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

Measurement Error in Small Area Estimation: Functional vs. Structural vs. Naive Models
William Bell, U.S. Census Bureau; Gauri Datta, University of Georgia and US Census Bureau; Carolina Franco, U.S. Census Bureau; Hee Cheol Chung, University of Georgia
8:55 AM

Additive Logistic Model with Stochastic Macro-Economic Covariates for Corporate Bankruptcy Prediction
Xiaorui Zhu, University of Cincinnati, Lindner College of Business; Yan Yu, University of Cincinnati; Shaonan Tian, San Jose State University
9:05 AM

Dynamic Association Based on Time-Dependent Risk Factors in Longitudinal Studies
Lihui Zhao, Northwestern University; Kiang Liu, Northwestern University; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH; Donald Lloyd-Jones, Northwestern University; Norrina Allen, Northwestern University; Sejong Bae, University of Alabama, Birmingham; Lu Tian, Stanford University
9:15 AM

Corporate Bankruptcy Prediction: a Penalized Semiparametric Index Hazard Model Approach
Shaobo Li, University of Cincinnati; Shaonan Tian, San Jose State University; Yan Yu, University of Cincinnati
9:35 AM

A Bayesian GWAS Method Which Utilizes Haplotype Clusters to Make Predictions When Maternal and Paternal Breed Composition Is Known
Danielle Wilson-Wells, University of Nebraska-Lincoln; Stephen D. Kachman, University of Nebraska-Lincoln
9:35 AM

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

Small and Large Sample Bias of REML Estimates of Genomic Heritability Estimates: An Assessment Using Big Data
Raka Mandal; Gustavo De Los Campos, Michigan State University; Alexander Grueneberg, Michigan State University; Tapabrata Maiti, Michigan State University
10:50 AM

Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM

Inference and Analysis on Social Networks from Newswire Content
William Campbell, MIT Lincoln Laboratory; Lin Li, MIT Lincoln Laboratory; Joel Acevedo-Aviles, MIT Lincoln Laboratory
11:05 AM

Trends and Volatility of Stock Prices Following Occurrence of Specific Technical Patterns
James Shine, US Army (retired); James Gentle, George Mason University; Charles Perry, USDA retired
11:35 AM

Joint Modeling of Genetically Correlated Diseases and Functional Annotations Increases Accuracy of Polygenic Risk Prediction
Yiming Hu, Yale University; Qiongshi Lu, Yale University; Wei Liu, Peking University; Yuhua Zhang, Shanghai Jiao Tong University; Mo Li, Yale University; Hongyu Zhao, Yale University
11:50 AM

JSM 2017 Online Program

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