Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: predictive returned 60 record(s)
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Sunday, 07/30/2017
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ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM
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Statistical Monitoring of Safety via a Bayesian Predictive Approach
LiAn Lin; Greg Ball, Merck; William W Wang, Merck & Co Inc
2:20 PM
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Predictive Modeling with Composite of Popular Distributions
Min Deng, Towson University; Mostafa S Aminzadeh, Towson University
2:35 PM
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Using an Automated News Sentiment Analysis as an Additional Trading Rule for High Frequency Trading Engine
Brahim Brahim, BDV Big Data Visualizations Inc
2:35 PM
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Investigating Multiple Imputation in Cluster Randomized Trials
Brittney Bailey, The Ohio State University; Rebecca Andridge, Ohio State University; Abigail Shoben, The Ohio State University
2:35 PM
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New Problem Settings for Predictive Modeling of High-Dimensional Data
Vladimir Cherkassky, University of Minnesota
2:55 PM
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An assessment of the utility of a Bayesian framework to improve response propensity modelling
Eliud Kibuchi, University of Southampton; Gabriele Durrant, University of Southampton; Patrick Sturgis, University of Southampton; Olga Maslovskaya, University of Southampton
4:35 PM
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The Predictive Spatial-Temporal Modeling for the Risk of Fetal Alcohol Syndrome (FAS) in Newborns Exposed to Alcohol During Pregnancy
Bu Hyoung Lee, Loyola University Maryland; Alexandra D. Carides, Temple University; Helen Anni, Temple University
5:05 PM
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Monday, 07/31/2017
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The Evolution of Fraud Detection Models
Brian Hochrein, IBM Watson Health
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Mixture DOE Approach for Weights Optimization in Regression Ensembles
Stanislav Zakharkin, PepsiCo
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Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination
Matt Johnson, Duke University; Mike West, Duke University
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Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University
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An Analysis of Consumer Budgeting and the Great Recession
Robert Garrett, Miami University - Oxford, OH; Thomas Fisher, Miami University; Ritu Narahari, Miami University
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Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
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Bayesian Regression Modeling with the Tilted Beta Distribution
Eugene Hahn, Salisbury University
8:35 AM
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Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University
8:55 AM
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An Analysis of Consumer Budgeting and the Great Recession
Robert Garrett, Miami University - Oxford, OH; Thomas Fisher, Miami University; Ritu Narahari, Miami University
9:00 AM
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Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination
Matt Johnson, Duke University; Mike West, Duke University
9:50 AM
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Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
11:55 AM
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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
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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
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Measuring Differential Treatment Benefit Across Marker Specific Subgroups: The Choice of Outcome Scale
Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Jaya Satagopan, Memorial Sloan Kettering Cancer Center
2:25 PM
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Efficient Approaches to Identifying Markers That Predict Treatment Effects in Randomized Clinical Trials
James Dai, Fred Hutchinson Cancer Research Center; Michael LeBlanc, Fred Hutchinson Cancer Research Center
3:05 PM
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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
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Clinical Trial Designs of Predictive Markers
Meijuan Li, CDRH/FDA
3:25 PM
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Tuesday, 08/01/2017
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Best Practices in Predicting Customer Attrition
Adraine Upshaw, BBVA Compass
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Calibration and Discrimination in Predictive Survival Models
Yared Gurmu, Brigham and Women's Hospital; Jeong-Gun Park, Brigham & Womens Hospital / Harvard Medical School; Erica Goodrich, Brigham and Women's Hospital
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Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
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Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire
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A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
Deborah Kunkel, The Ohio State University; Kevin Potter, University of Massachusetts; Trisha Van Zandt, The Ohio State University; Peter F Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University
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Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
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Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM
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A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
Deborah Kunkel, The Ohio State University; Kevin Potter, University of Massachusetts; Trisha Van Zandt, The Ohio State University; Peter F Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University
10:50 AM
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Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
11:05 AM
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Bayesian Model Assessment and Selection Using Bregman Divergence
Dipak K Dey, university of connecticut; Gyuhyeong Goh, Kansas State University
11:35 AM
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Predictive Analytics in Industrial Asset Health Management
Wenyu Zhao, Schlumberger
11:35 AM
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Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire
12:10 PM
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Reconstruction of Spatio-Temporal Temperature from Sparse Historical Records Using Robust Probabilistic Principal Component Regression
John Tipton, Colorado State University; Mevin Hooten, Colorado State University; Simon Goring, Department of Geography, University of Wisconsin
2:05 PM
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Predictive Modeling of Health Care Associated Infections (HAIs) Using National Linked Individual Health Care Data in Scotland
Kimberley Kavanagh, University of Strathclyde; Jiafeng Pan, University of Strathclyde; Chris Robertson, University of Strathclyde; Marion Bennie, University of Strathclyde; Charis Marwick, University of Dundee; Colin McCowan, University of Glasgow
2:20 PM
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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
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Wednesday, 08/02/2017
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A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati
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Statistical Challenges in Precision Medicine: Focus on Psychiatric Genetics
Joanna Biernacka, Mayo Clinic
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Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
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BAYESIAN PROBABILITY of SUCCESS for MULTIPLE CLINICAL TRIALS in CONTINUOUS OUTCOMES
Junnosuke Matsushima, Chugai Pharma USA
8:50 AM
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Quantifying and Estimating the Predictive Accuracy for Censored Time-to-Event Data with Competing Risks
Cai Wu, University of Texas MD Anderson Cancer Center; Liang Li, University of Texas MD Anderson Cancer Center
8:50 AM
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Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
9:45 AM
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Estimand in Evaluating Predictive or Selection Markers Using Enrichment Design in Clinical Trials
Jingjing Ye, FDA
9:55 AM
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Prediction of Pedestrian and Cyclist Accident Rates for City Streets and Intersections
Alex Zolot, HERE; Wanli Cheng, HERE; Rod Megraw, HERE
10:35 AM
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Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
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A Comparison of Risk Adjustment Models Based on Traditional Statistical and Machine Learning Techniques
Hong Kan; Hsien-Yen Chang, Johns Hopkins Bloomberg School of Public Health; Hadi Kharrazi, Johns Hopkins Bloomberg School of Public Health
11:15 AM
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Predictive Density Estimation for Multivariate Normal and Spherically Symmetric Densities
Eric Marchand, Universite De Sherbrooke
2:05 PM
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On Sparse Bayes Predictive Density Estimates
Gourab Mukherjee, University of Southern California
2:25 PM
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Harmonic Bayesian Prediction Under Alpha-Divergence
Yuzo Maruyama, The University of Tokyo
2:45 PM
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Predictive Inference for Regression
Maxwell Grazier G'Sell, Carnegie Mellon University
3:25 PM
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Thursday, 08/03/2017
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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
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Cyber-Security: a Stochastic Predictive Model to Determine Overall Network Security Risk Using Markovian Process
Nawa Raj Pokhrel
8:50 AM
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Comparison of Variable Selection Methods on a National Survey of Drug Use and Health
Georgiy Bobashev, RTI International; Li-Tzy Wu, Duke University
9:35 AM
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Comparison and validation of statistical methods for predicting tree failure during storm
Elnaz Kabir; Seth Guikema, University of Michigan
10:05 AM
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Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM
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Optimizing Patient Selection for Chemoprevention Through Predictive Modeling
Xi Kathy K Zhou, Weill Cornell Medical College
11:50 AM
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