Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: prediction returned 142 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

Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST; Jianqing Fan, Princeton University

A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan

Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University

Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:05 PM

Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM

Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST; Jianqing Fan, Princeton University
2:45 PM

A Ratio-Based Method for Predicting Point Differentials in Sports
Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha
2:50 PM

Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
3:25 PM

Adaptively-Tuned Particle Swarm Optimization with Application to Spatial Design
Matthew Simpson, University of Missouri; Christopher K. Wikle, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau
4:05 PM

Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction
Yi Li
4:05 PM

Bayesian Hierarchical Models and Influenza Modeling
Nehemias Ulloa, Iowa State University; Jarad Niemi, Iowa State University
4:35 PM

Forecasting Accuracy of Topic Modeling Techniques for Online Reviews: a Benchmark Study
Yuan Cheng, Cornell University; Shawn Mankad, Cornell University
4:50 PM

A Hybrid Approach for Prediction of Event Times in Double-Blind Clinical Trials
Ming Zhu, Sanofi Pasteur; Yunnan Xu, Virginia Tech; Zheng Su, Deerfield Institute
5:05 PM

Risk Prediction Through Temporal Phenotyping and Incorporation of MedDRA Information
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
5:20 PM

Monday, 07/30/2018

Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay

An Application of Clustering Method on EHR Data Phenotyping and Prediction
Shu Wang, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh; Christopher W. Seymour, University of Pittsburgh; Jason Kennedy, University of Pittsburgh; Zhongying Xu, University of Pittsburgh

Machine Learning with Ensemble Feature Selections for Mass Spectrometry Data in Cancer Study
Yulan Liang, University of Maryland Baltimore; Amin Gharipour, Griffith University; Arpad Kelemen, University of Maryland Baltimore; Adam Kelemen, University of Maryland College Park; Hui Zhang, Johns Hopkins Medical Institutions

Enhanced Prediction of March Mania Using Conference and Historical Information
Guanhong Miao; Samuel Wu, University of Florida

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

Spatial and Temporal Trends in Weather Forecasting and Improving Predictions with ARIMA Modeling
Manasi Sheth, California State University; Mahalaxmi Gundreddy, California State University East Bay; Vivek Shah, Applied Materials, Inc. ; Pritam Barlota, California State University East Bay; Eric Suess, CSU East Bay

Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University

Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.

Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel; Andrada E Ivanescu, Montclair State University

Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University

Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech

Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University

Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International

Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University

Power Outage Prediction for Adverse Weather Events
Seth Guikema, University of Michigan; Steven Quiring, Ohio State University; Ken Buckstaff, First Quartile Consulting; Mike Beck, Beck Consulting; Alan Bowman, Clarkson University; Brent McRoberts, Texas A&M University; Roshanak Nateghi, Purdue University
9:05 AM

Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA
9:35 AM

Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International
9:45 AM

Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
9:55 AM

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

Relevance, Validity, and Bias in the Integration of Health Data
Jerald Lawless, University of Waterloo
10:35 AM

A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management
Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
10:55 AM

Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel; Andrada E Ivanescu, Montclair State University
11:20 AM

Developing Biomarker Combinations in Multicenter Studies via Direct Maximization and Penalization
Allison Meisner, Johns Hopkins University; Kathleen F. Kerr, University of Washington; Chirag Parikh, Yale University
11:35 AM

Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:35 AM

Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 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

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM

Comparison of Interval Estimation in Machine Learning
Dai Feng, Merck; Andy Liaw, Merck & Co., Inc.; Vladimir Svetnik, Merck
2:05 PM

Statistical Considerations for Using Multiple Databases to Build a Biomarker Probability Tool
Feng Gao; Shijia Bian, Biogen; Wenting Wang, Biogen; Nancy Maserejian, Biogen; Judith Jaeger, Albert Einstein College of Medicine; Robert Robert Engle , Biogen; Timothy Swan, Biogen; James McIninch, Alnylam Pharmaceuticals; Feng Gao, Biogen
2:25 PM

Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM

Interval-Valued Kriging and Application in Climate Related Predictions
Brennan Bean, Utah State University; Yan Sun, Utah State University
2:50 PM

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

Joint Modeling of Length-Biased and Competing Risks Survival Times with View Toward Individualized Prediction: An Application to Spontaneous Labor
Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development; Ling Ma, Clemson University
3:20 PM

Prediction Using Machine Learning Algorithms by Small Sample Size Data
Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA; Jian L Zhang, Kaiser Permanente
3:20 PM

CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM

Tuesday, 07/31/2018

Univariate, Multivariate and Model-Based Prediction on Truncated Continuous Data with Shiny/R
Qianqiu Li, Janssen Research & Development

Iterated Multi-Source Exchangeability Models
Roland Brown, University of Minnesota; Julian Wolfson, University of Minnesota

A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston

A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University

Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model
Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University

Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.

Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel

Committee on Law and Justice Statistics
Joel Hunt, National Institute of Justice; Patryk Miziula, deepsense.ai; George Mohler, IUPUI; Tuanjie Tong, Intuidex, Inc.; Dylan Fitzpatrick, Carnegie Mellon University
8:35 AM

Estimating Prediction Error for Complex Samples
Andrew James Holbrook, UC Irvine; Daniel L. Gillen, University of California, Irvine; Thomas Lumley, University of Auckland
8:35 AM

A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University
8:50 AM

Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM

Improving the Value of Public Data with Recount2 and Phenotype Prediction
Shannon Ellis, Johns Hopkins University, Bloomberg School of Public Health
8:55 AM

Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
9:05 AM

Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM

Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.
9:50 AM

Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
Mamadou Diallo; Balgobin Nandram, Worcester Polytechnic Institute; J. N. K. Rao, Carleton University
10:35 AM

Outlier Detection in Dynamic Functional Models
Andrada E Ivanescu, Montclair State University; William Checkley, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
10:55 AM

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

Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability
Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:05 AM

The Impact of Misspecification of Linear Modeling on the Prediction in SMART PK/PD Clinical Trials
Tian Zhao, Merck; Li Fan, Merck
11:20 AM

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

Collaborative Cognition for Commodity Price Prediction
Ritwik Chaudhuri, IBM Research, India; Ramasuri Narayanam, IBM Research, India; Manish Kataria, IBM Research, India; Gyana Parija, IBM Research, India
11:50 AM

Decision-Adjusted Predictive Modeling Approach for Driver Risk Assessment
Huiying Mao, Virginia Tech / VTTI; Feng Guo, Virginia Tech; Xinwei Deng, Virginia Tech
2:35 PM

Dynamic Prediction for Patients with High-Grade Extremity Soft Tissue Sarcoma
Anja Rueten-Budde, Leiden University; Marta Fiocco, Leiden University
2:50 PM

Probabilistic Prediction of the State of Discarded Underwater Marine Munitions
Jonathan Gillmore Ligo, Johns Hopkins Applied Physics Laboratory; Sarah Rennie, Johns Hopkins Applied Physics Laboratory; Alan Brandt, Johns Hopkins Applied Physics Laboratory
2:50 PM

Predicting Suicide Risk: Statistical Methods for Using EHR Data to Inform Mental Health Care
Rebecca Coley, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Rod Walker, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute
3:25 PM

Compressing Scientific Data: Reducing Storage While Preserving Information
Dorit Hammerling, National Center for Atmospheric Research; Joseph Guinness, NC State University; Allison Baker, National Center for Atmospheric Research
3:25 PM

Data Collection Issues in Modeling and Estimation of Urban Transportation Networks
Isabelle Kemajou-Brown, Morgan State University; Jasmine Alston, Morgan State University; Paul Bikoi, Morgan State University; Eugene Evans, Morgan State University; Xilei Zhao, University of Michigan; James C. Spall, Applied Physics Laboratory
3:35 PM

Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
Daniel Taylor Rodriguez, Portland State University; Andrew Oliver Finley, Michigan State University; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Chad Babcock, University of Washington; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center; Sudipto Banerjee, UCLA School of Public Health
3:35 PM

Wednesday, 08/01/2018

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech

How to Implement Empirical Results of Complex Longitudinal Analysis Models into Microsimulation and Test the Sensitivity of Such Implementations
Dawid Bekalarczyk; Petra Stein, University of Duisburg-Essen

A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia

Prediction of Warranty Returns Based on Modeling Seasonal Recurrent Event Data
Qianqian Shan; William Meeker, Iowa State University
8:35 AM

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM

Mortality Prediction with Multiple Unordered Treatments for Aortic Valve Replacement
Samrachana Adhikari, Harvard Medical School; Sherri Rose, Harvard Medical School; Sharon-Lise Normand, Harvard University; Jordan Bloom, Harvard Medical School; David Shahian, Harvard Medical School; Jake Spertus, Harvard Medical School
8:55 AM

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

Estimating Personal Cure in Colorectal Cancer Patients Using the SEER Data
Margaret Stedman, Stanford Univ
9:20 AM

Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM

Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 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

Tools and Techniques for Blinded Data Reviews in Ongoing Clinical Trials
Suresh Ankolekar, Cytel Inc.; Hrishikesh Kulkarni, Cytel Inc.
9:55 AM

Future Events Prediction with a Forward Intensity Function Approach
Lili Zhu, Bristol-Myers Squibb; Temple University; Cheng Yong Tang, Temple University
10:05 AM

Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM

Hybridized Threshold Clustering for Massive Data
Jianmei Luo, KANSAS STATE UNIVERSITY; Michael Higgins, KANSAS STATE UNIVERSITY; William Henry Hsu, KANSAS STATE UNIVERSITY; ChandraVyas Annakula, KANSAS STATE UNIVERSITY; Aruna Sai Kannamareddy, KANSAS STATE UNIVERSITY
10:35 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

Identifying Farming Practices and Characteristics Associated with Higher Incomes for Smallholder Farms in Kibaale District, Uganda
Yew-Meng Koh, Hope College
11:05 AM

Measuring the Individual Benefits of a Medical or Behavioral Treatment Using Generalized Linear Mixed-Effects Models
Francisco Diaz, The University of Kansas Medical Center
11:05 AM

Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:05 AM

Uniformity of Personalized Treatment
Georgiy Bobashev, Research Triangle Institute; Barry Eggleston, RTI International; Benjamin Carper, RTI International
11:05 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

Comparison of Support Vector Machine and Conformal Inference of in Regression Prediction
Kao-Tai Tsai, Celgene
11:20 AM

The GUIDE Approach to Missing Data
Wei-Yin Loh, University of Wisconsin
11:35 AM

Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM

Genotype Prediction for All Publicly Available RNA-Seq Data
Siruo Wang, Johns Hopkins Bloomberg SPH; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
11:50 AM

Flexible Locally Weighted Penalized Regression with Applications on Prediction of ADNI Clinical Scores
Peiyao Wang; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:55 AM

Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM

Forecasting Consumer Interests from Search Query Data Using Large-Scale, Semiparametric Probabilistic Prediction Algorithms
Georg Goerg
2:05 PM

A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:35 PM

Optimization of Decision Trees by Delaying the Split Decision
Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Christer Karlsson, South Dakota School of Mines and Technology; Randy Hoover, South Dakota School of Mines and Technology
2:35 PM

Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
2:45 PM

Real World Data Analysis to Inform Clinical Trial Modeling and Simulation
Zhaoling Meng, sanofi; Dimple Patel, sanofi; Qi Tang, Sanofi; Nadia Gaudel-Dedieu, sanofi; James Rogers, Metrum Research Group
2:45 PM

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

Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 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

Sequential Prediction, Martingale Tail Bounds and Automatic Machine Learning
Karthik Sridharan, Cornell University
8:35 AM

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

Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan
Guowen Huang, National Tsing Hua University
9:00 AM

Adjusting for Handling Effects in Microarray Data for Prognostic Biomarker Discovery and Survival Risk Prediction
Ai Ni, Memorial Sloan Kettering Cancer Center; Mengling Liu, New York University; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
9:05 AM

A Non-Collapsing Particle Filter for a High-Dimensional Cellular Automata Model of Traffic Flow
Thomas Bengtsson, Genentech
9:35 AM

Risk Prediction Using Longitudinal Predictors: An Application to Electronic Health Records Data
Benjamin A Goldstein, Duke University; Michael Pencina, Duke University; Gina-Maria Pomann, Duke University; Wolfgang Winkelmayer, Baylor University
10:35 AM

A Statistical Framework for Cross-Tissue Transcriptome-Wide Association Analysis
Yiming Hu, Yale University
10:55 AM

Scoring Rules for Probabilistic Binary Classification
Matthew Parry, University of Otago
11:00 AM

Model Choice and Future Prediction Accuracy in Time Series for Disease Incidence
Reagan Spindler, Hope College; Yew-Meng Koh, Hope College
11:05 AM

A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM

A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:05 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 García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM

A Model for Prioritizing Interventions for People at Risk of Incarceration
Erika Salomon, University of Chicago
11:25 AM

Improved Modeling of Imbalanced Data for Dietary Lapse Prediction
Fengqing Zhang, Drexel University; Tinashe M Tapera , Drexel University; Stephanie P Goldstein, Drexel University; Evan Forman, Drexel University
11:35 AM

Approximate Bayesian Forecasting
Brendan McCabe, University of Liverpool
11:50 AM

JSM 2018 Online Program

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