JSM 2011 Online Program

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Keyword Search Criteria: prediction returned 83 record(s)
Sunday, 07/31/2011
Incorporating Auxiliary Information for Improved Prediction in High Dimensional Datasets: An Ensemble of Shrinkage Approaches
Philip Boonstra, University of Michigan; Bhramar Mukherjee, University of Michigan; Jeremy Michael George Taylor, University of Michigan; Stephen Gruber, University of Michigan; Mef Nilbert, Copenhagen University Hospital; Victor Moreno, Catalan Institute of Oncology and University of Barcelona
2:25 PM

Strategy for a Sensitivity Analysis of Protein Role Prediction Algorithm
Liliana López-Kleine, Universidad Nacional de Colombia; Piedad Castro-Torres, Universidad Nacional de Colombia; Natalia Rojas-Perilla, Universidad Nacional de Colombia
2:35 PM

Hospital Re-Admission Risk Prediction and Stratification
Donghui Wu, Elsevier/MEDai; Ognian Asparouhvo, Elsevier/MEDai
2:35 PM

Dynamic Model Averaging in the Context of Prequential Prediction
Jennifer Clarke, University of Miami; Chi Wai Yu, Hong Kong University of Science and Technology; Bertrand Salem Clarke, University of Miami
3:05 PM

Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances
William F. Christensen, Brigham Young University
3:05 PM

Comparative Benefits for Disease Prevention of Improved Interventions Versus More Discriminating Models of Disease Risk
Mitchell Gail, National Cancer Institute
4:05 PM

Statistics and Complex Networks: The Next Frontier
Eric Kolaczyk, Boston University
4:05 PM

To Survive or to Fail: What Is the Question?
Refik Soyer, The George Washington University
4:05 PM

Automatic Forecasting of Double Seasonal Time Series with Applications on Mobility Network Traffic Prediction
Shu-Ngai Yeung, AT&T Labs Research; Guang-Qin Ma, AT&T Labs Research; Tom S. Au, AT&T Labs Research
4:20 PM

A Class of Inference Procedure for Comparing Risk Scoring Systems Beyond the Receiver Operating Characteristic Curve Paradigm in Survival Analysis
Hajime Uno, Dana-Farber Cancer Institute; Lu Tian, Stanford University; Tianxi Cai, Harvard University; LJ Wei, Harvard University
4:55 PM

Breast Cancer Risk Prediction with Heterogeneous Risk: Profiles According to Breast Cancer Subtypes
Bernard Rosner, Channing Laboratory; Rulla Tamimi, Channing Laboratory; Graham Colditz, Washington University at St. Louis; Susan Hankinson, Channing Laboratory; Robert Glynn, Brigham and Women's Hospital
4:55 PM

Two Criteria for Evaluating Risk Prediction Models
Ruth Pfeiffer, National Cancer Institute; Mitchell Gail, National Cancer Institute
5:20 PM

Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph
Yunzhang Zhu, University of Minnesota; Xiaotong Shen, University of Minnesota; Wei Pan, University of Minnesota
5:25 PM

Monday, 08/01/2011
The Practical Effect of Batch on Genomic Prediction
Hilary Parker, The Johns Hopkins University; Jeff Leek, The Johns Hopkins University; Rafael Irizarry, The Johns Hopkins University


Implementing Random Forests for Hockey Hall of Fame Induction Prediction: Applications to Language-Based Discrimination
Brian M. Mills, University of Michigan; Steven Salaga, University of Michigan


Prediction Region as a Quality Measure for Dose-Response Curves
Nan Song, Precision Therapeutics, Inc.; Zhewen Fan, Precision Therapeutics, Inc.; Zhibao Mi, VA Cooperative Studies Program; Kui Shen, Precision Therapeutics, Inc.; Joseph Collins , VA Cooperative Studies Program; Gong Tang, University of Pittsburgh


Lifetime Predictive Density Estimation in Accelerated Degradation Testing for Lognormal Response Distributions with an Arrhenius Rate Relationship
Steven Michael Alferink, Missouri University of Science and Technology; V. A. Samaranayake, Missouri university of Science and Technology


Hot Topics in Genetic Epidemiology
Hongyu Zhao, Yale University


Sparse Bayesian Semiparametric Predictive Modeling with Applications in Unobserved Dose-Response Prediction
Ben Haaland, Duke University
8:35 AM

The Role of the Cutoffs in Developing the Genomic Classifier for Clinical Utility Assessment
Samir Lababidi, U.S. Food and Drug Administration; Sue-Jane Wang, U.S. Food and Drug Administration/CDER
8:35 AM

An Alternative Claim Amount Prediction for Deductible Insurance Policies
Heungsun "Sunny" Park, Hankuk University of Foreign Studies; Yongbum Jun, National Agricultural Cooperative Federation
9:05 AM

Accelerometer-Based Prediction of Activity for Epidemiological Research
Jiawei Bai, The Johns Hopkins University; Ciprian Crainiceanu, The Johns Hopkins University; Brian Caffo, The Johns Hopkins University; Thomas A. Glass, The Johns Hopkins University
9:20 AM

A Finite Mixture Model to Refine Risk Stratification in Multiple Myeloma
Pingping Qu, Cancer Research and Biostatistics (CRAB)
9:50 AM

Model Prediction of the Length of Cancer Prior to Diagnosis with Application to Cancer Registry Data
Diana L. Nadler, University at Albany; Igor Zurbenko, The State University of New York at Albany
10:05 AM

Predicting the Future of Genetic Risk Prediction
Nilanjan Chatterjee, National Cancer Institute; JuHyun Park, National Cancer Institute; Mitchell Gail, National Cancer Institute
10:35 AM

On Some Properties of Generalized Linear Mixed Models for Spatial Count Data
Victor De Oliveira , The University of Texas at San Antonio
10:35 AM

Spatial Prediction Variance Estimation based on Generalized Degrees of Freedom
Roberto Rivera, University of Puerto Rico at Mayaguez
10:50 AM

Risk Prediction with Genome-Wide Association Studies
Tianxi Cai, Harvard University; Jessica Minnier, Harvard University
11:05 AM

An Empirical Best Linear Unbiased Prediction Approach to Small-Area Estimation of Crop Parameters
Michael E. Bellow, U.S. Department of Agriculture; Partha Lahiri, University of Maryland
11:20 AM

Birds of a Feather Shop Together: Predicting Adoption with Social Networks
Sharad Goel, Yahoo Research
11:35 AM

A Comparison of Spatial Prediction Techniques Using Both Hard and Soft Data
Megan Liedtke Tesar, University of Nebraska at Lincoln; David Marx, University of Nebraska at Lincoln; Steve Kachman, University of Nebraska at Lincoln
12:05 PM

Resolving the Structure of Interactions with Hierarchical Agglomerative Clustering
Yongjin Park, The Johns Hopkins University
2:25 PM

The Bowl Championship Series: Still Crazy After All These Years
Hal Stern, University of California at Irvine
2:35 PM

Exploring New Models for Population Prediction in Detecting Demographic Phase Change for Sparse Census Data
Arindam Gupta, Burdwan University
2:50 PM

Obtaining Prediction Intervals for FARIMA Processes Using the Sieve Bootstrap
Maduka N. Rupasinghe, Missouri University of Science and Technology; Purna Mukhopadhyay, University of Kansas; V. A. Samaranayake, Missouri university of Science and Technology
2:50 PM

Landmark Prediction of Survival Incorporating Short-Term Event Information
Layla Parast, Harvard University; Su-Chun Cheng, Dana Farber Cancer Institute; Tianxi Cai, Harvard University
3:05 PM

Risk Classification with an Adaptive Naive Bayes Kernel Machine Model
Jessica Minnier, Harvard University; Tianxi Cai, Harvard University; Jun Liu, Harvard University
3:25 PM

Tuesday, 08/02/2011
Predicting Spring Wheat Falling Number in Finland
Timo Hurme, University of Turku; Pirjo Peltonen-Sainio, MTT Agrifood Research Finland; Lauri Jauhiainen, MTT Agrifood Research Finland


Sieve Bootstrap Prediction Intervals for Multivariate ARMA Processes with Non-Gaussian Innovations
Purna Mukhopadhyay, University of Kansas; V. A. Samaranayake, Missouri university of Science and Technology


Binary Prediction to Minimize Total Risk
Kentaro Akashi, Institute of Statistical Mathematics; Yoshinori Kawasaki, Institute of Statistical Mathematics


Prediction Intervals For The Generalized Linear Mixed Model'
Chenghsueh Yang, UCR
8:35 AM

On Bayesian Inference and Prediction for Computer Software
Nuria Torrado, Universidad Carlos III; Rosa E. Lillo, Universidad Carlos III; Michael P. Wiper, Universidad Carlos III
8:35 AM

Propensity Score Adjustment for Nonignorable Nonresponse
Minsun Kim Riddles, Iowa State University; Jae-kwang Kim, Iowa State University
8:50 AM

Sharp Identification Regions in Models with Convex Moment Predictions
Arie Beresteanu, University of Pittsburgh; Francesca Molinari, Cornell University; Ilya Molchanov, University of Bern
9:05 AM

Compare Predicted Counts Between Groups of Zero-Truncated Poisson Regression Model Based on Recycled Predictions Method
Yan Wang, University of California at Los Angeles; Michael Ong, University of California at Los Angeles; Honghu Liu, University of California at Los Angeles
9:05 AM

Testing for Absence of Efficient Combination Gains
Pablo Pincheira, Central Bank of Chile
9:20 AM

Universal Dependency Prediction and Variable Selection with the Mira
Hesen Peng, Emory University; Tianwei Yu , Emory University
9:35 AM

Autoregressive Models for Count Time Series
Konstantinos Fokianos, University of Cyprus
10:35 AM

Predicting Analysis Time in Event-Driven Clinical Trials with Event-Reporting Lag
Jianming Wang, Novartis Oncology; Chunlei Ke, Amgen Inc.; Qi Jiang, Amgen Inc.; Charlie Zhang, Exelixis; Steve Snapinn, Amgen Inc.
10:35 AM

Prediction Accuracy of Linear Models for Paired Comparisons in Sports
Victor Chan, Western Washington University
10:35 AM

Generation of Prediction Intervals to Assess Data Quality in the Distribute System Using Quantile Regression
Ian Painter, University of Washington; Julie Eaton, University of Puget Sound; Debra Revere, University of Washington; Bill Lober, University of Washington; Donald Olson, International Society of Disease Surveillance
11:15 AM

Statistics in the Ballroom: Rankings, Voting, Fairness, Prediction, and Quantifying the Palin Effect on 'Dancing with the Stars'
Jason A. Gershman, Nova Southeastern University
11:35 AM

Bayesian Nonparametric Methods for Protein Structure Prediction
Kristin Patricia Lennox, Lawrence Livermore National Laboratory; David B. Dahl, Texas A & M University; Marina Vannucci, Rice University; Ryan Day, University of the Pacific; Jerry W. Tsai, University of the Pacific
2:25 PM

Using Bayesian Method to Predict Responders Based on Clinical Scores in the Initial Weeks of Treatment in a Phase II Multiple Sclerosis Trial
Dazhe Wang, sanofi-aventis; Lynn Wei, sanofi-aventis
2:35 PM

Response-Adaptive Regression for Longitudinal Data
Shuang Wu, University of Rochester; Hans-Georg Mueller, University of California at Davis
3:05 PM

Is Sparseness the Answer to Model Selection as Well as Prediction?
Peter J. Bickel, University of California at Berkeley; Ya'akov Ritov, Hebrew University
3:20 PM

Misuse of Delong Test to Compare AUCs for Nested Models
Olga Demler, Boston University; Michael Pencina, Boston University; Ralph B. D'Agostino Sr., Boston University
3:20 PM

Wednesday, 08/03/2011
On Non-parametric Bayesian Regression in Cardiovascular Disease Risk Assessment
Olli Saarela, McGill University; Elja Arjas, University of Helsinki
8:35 AM

Prediction Biomarkers for Safety or Efficacy
Estelle Russek-Cohen, U.S. Food and Drug Administration; Rong Tang , U.S. Food and Drug Administration
8:55 AM

The Effect of Hazard Assumptions on Split Selection Criteria and Predictive Error in Survival Trees
Brian White, University of South Florida
9:05 AM

A Gaussian Markov Random Fields Approach to Integrating Multiple Climate Model Output
Shannon Neely, Brigham Young University; William F. Christensen, Brigham Young University; Stephan Sain, National Center for Atmospheric Research
9:15 AM

Selecting Linear Models Under the Bayesian Paradigm with Focus on Good Prediction Over a User-Specified Distribution on the Covariate Space
Adam Lee Pintar, National Institute of Standards and Technology; Christine Anderson-Cook, Los Alamos National Laboratory; Huaiqing Wu, Iowa State University
9:20 AM

Ranking Teams in the NCAA Division I Men's Basketball Tournament
Mark Brown, The City University of New York; Joel Sokol, Georgia Institute of Technology
9:35 AM

Convergence and Prediction of Principal Component Scores in High-Dimensional and Ultra-High Dimensional Settings
Seunggeun Lee, Harvard University
9:35 AM

Estimation of Finite Population Domain Means: Then and Now
Jiming Jiang, University of California at Davis; Thuan Nguyen, Oregon Health & Science University
10:35 AM

Field-Failure Predictions Based on Failure-Time Data with Dynamic Covariate Information
William Q. Meeker, Iowa State University; Yili Hong, Virginia Tech
10:35 AM

Interchangeability Among Confidence, Prediction, and Tolerance Intervals
Harry Yang, MedImmune, Inc.; Lanju Zhang, MedImmune, Inc.
11:20 AM

A Discussion of Current Applications and Statistical Issues in Genomic Prediction of Complex Traits and Diseases
Christine Woods Duarte, University of Alabama at Birmingham; Gustavo de los Campos, University of Alabama at Birmingham
2:25 PM

Service Life Prediction Using Accelerated Degradation Data from Laboratory Testing and Outdoor Weathering Data
Yili Hong, Virginia Tech; William Q. Meeker, Iowa State University
2:35 PM

Uncertainty and Standard Errors in Agent-Based Disease Projections
Georgiy Bobashev, RTI International; R. Joey Morris, RTI International
2:50 PM

Techniques for High Accuracy in Estimation of the Mean Squared Prediction Error in General Small-Area Model
Ansu Chatterjee, University of Minnesota; Partha Lahiri, University of Maryland
3:05 PM

Tree-Based Time Varying-Coefficient Regression For Product Demand Prediction
Jay Wang, Hewlett Packard Laboratories; Kay-Yut Chen, Hewlett Packard Laboratories; Guillermo Gallego, Columbia University
3:05 PM

Predicting Complex Human Traits Using Whole-Genome Markers: Proof of Principle with Human Height and Human Longevity
Gustavo de los Campos, University of Alabama at Birmingham; Yann Klimentidis, University of Alabama at Birmingham; Robert Makowsky, University of Alabama at Birmingham; Ana Ines Vazquez, University of Alabama at Birmingham; Nicholas M. Pajewski, Wake Forest University; Christine Woods Duarte, University of Alabama at Birmingham; David B. Allison, University of Alabama at Birmingham
3:05 PM

Clustering Based Small Area Estimation: An Application to MEAP Data
Taps Maiti, Michigan State University
3:20 PM

A Two-Step Modeling Strategy for Testing and Estimating Genetic Susceptibility to the Ill-Effects of Adiposity: Illustration in an Outbred F2 Mice Population
Guo-Bo Chen, University of Alabama at Birmingham; Katherine H. Ingram, University of Alabama at Birmingham; Gustavo de los Campos, University of Alabama at Birmingham; Nengjun Yi, University of Alabama at Birmingham; Xiang-Yang Lou, University of Alabama at Birmingham; Daniel Pomp, The University of North Carolina; David B. Allison, University of Alabama at Birmingham
3:25 PM

Thursday, 08/04/2011
Bayesian Uncertainty Analysis of PBPK Model Predictions for Permethrin in Rats
Jimena Davis, Environmental Protection Agency; Rogelio Tornero-Velez, Environmental Protection Agency; John Wambaugh, Environmental Protection Agency; Rhyne Woodrow Setzer, Environmental Protection Agency
8:35 AM

Dynamic Variable Selection for Corporate Bankruptcy Prediction
Yan Yu, University of Cincinnati; Shaonan Tian, University of Cincinnati; Hui Guo, University of Cincinnati
9:05 AM

Biomarker Identification and Patient Condition Prediction Based on Gene-Expression Pattern from Two Case Studies
Yushi Liu, The Lovelace Respiratory Research Institute; Joe Verducci, The Ohio State University
9:15 AM

Estimating Population-Level Trends in Cardiometabolic Risk Factors Using Disparate Data Sources
Mariel McKenzie Finucane, Harvard School of Public Health; Christopher Joseph Paciorek, Harvard School of Public Health; Goodarz Danaei, Harvard School of Public Health; Majid Ezzati, Imperial College London
9:15 AM

A Stochastic Universal Cancer Classifier
Jeff Leek, The Johns Hopkins University; Hector Corrada Bravo, University of Maryland; Vasyl Pihur, The Johns Hopkins University; Matthew Nicholson McCall, University of Rochester Medical Center ; Rafael Irizarry, The Johns Hopkins University
9:25 AM

Predicting Activity Cliffs: Can We Use Machine Learning for Special Cases?
Rajarshi Guha, National Institutes of Health
9:35 AM

Predicting Race Times for Motorcycle Grand Prix Racing
Leanne Streja, University of California at Los Angeles; Robert E. Weiss, University of California at Los Angeles; Catherine Ann Sugar, University of California at Los Angeles
9:35 AM

Prediction of Phase III Survival Outcomes Using Phase II Surrogate Marker Results Through Modeling and Simulation
Yi Liu, Millennium: The Takeda Oncology Company; Mingxiu Hu, Millennium: The Takeda Oncology Company ; Shan Yang, Iowa State University; Guohui Liu, Millennium: The Takeda Oncology Company ; Hongliang Shi, Millennium: The Takeda Oncology Company
10:35 AM




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