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Sunday, 08/01/2010
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Posterior Predictive Loss for Model Selection in Incomplete Longitudinal Data
Arkendu Sekhar Chatterjee, University of Florida; Michael J. Daniels, University of Florida
2:20 PM
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On the Predictive Potential of Kernel Principal Components
Andreas Artemiou, Penn State; Bing Li, Penn State
2:35 PM
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Incorporating Evidence for Population Stratification Bias in Combined Analysis of Individual and Family Data
Lucia Mirea, Dalla Lana School of Public Health; Lei Sun, Dalla Lana School of Public Health; James Edward Stafford, Dalla Lana School of Public Health; Claire Infante-Rivard, McGill University; Shelley Brenda Bull, Samuel Lunenfeld Research Institute
2:45 PM
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Social Network Analysis for Fraud Detection
John Clare Brocklebank, SAS Institute
3:25 PM
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Hierarchical Spatial Models for Predicting Forest Variables Over Large Heterogeneous Domains
Sudipto Banerjee, University of Minnesota; Andrew Finley, Michigan State University
4:30 PM
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Predictive Distribution Under Cox's Proportional Hazard Model
Yijie Liao, Southern Methodist University; Ron Butler, Southern Methodist University
4:35 PM
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Monday, 08/02/2010
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Development of Imaging Biomarkers for Clinical Trials: Applications in Glioblastoma Multiforme
Hyun (Grace) Kim, University of California, Los Angeles; Jing Huo, University of California, Los Angeles; Matt Brown, University of California, Los Angeles; Jonathan Goldin, University of California, Los Angeles
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Conditional Power and Predictive Power Approaches to Interim Monitoring in Equivalence Trials
Xiaojiang Zhan, Merck & Co., Inc.
9:20 AM
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Predictive Recursion: Convergence Theory, Extensions, and Applications
Ryan Martin, Indiana University Purdue University Indianapolis; Surya Tokdar, Duke University
9:35 AM
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Nonparametric and Semiparametric Optimal Transformations of Markers
Chin-Tsang Chiang, National Taiwan University
9:35 AM
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Clinical Trial Designs for Predictive Biomarker Validation: Theoretical Considerations and Practical Challenges
Daniel Sargent, Mayo Clinic; Sumithra Mandrekar, Mayo Clinic
10:35 AM
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Multivariate Spatial Factor Analysis Using Gaussian Predictive Processes
Qian Ren, University of Minnesota; Sudipto Banerjee, University of Minnesota
10:50 AM
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Predictive Modeling of Weight Loss Curves
Shailaja Suryawanshi, Merck & Co., Inc.; Kaifeng Lu, Merck & Co., Inc.
11:05 AM
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Adaptive Gaussian Predictive Process Model for Large Spatial Data Sets
Rajarshi Guhaniyogi, University of Minnesota; Andrew Finley, Michigan State University; Sudipto Banerjee, University of Minnesota; Alan E. Gelfand, Duke University
11:05 AM
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Using Bayesian Predictive Distributions to Identify Outbreaks of Influenza-Like Illness
Owen Devine, CDC; Howard Burkom, The Johns Hopkins University
11:15 AM
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Measuring the Performance of Markers Used to Select Patient Treatment
Holly Janes, Fred Hutchinson Cancer Research Center
11:25 AM
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Interaction Detection for Business Forecasting
Dan Steinberg, Salford Systems
11:50 AM
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Statistics in Biopharmaceutical Research: Application of Biomarkers in Drug Development
Aloka Chakravarty, FDA; Mark Rothmann, FDA; Rajeshwari Sridhara , FDA
2:05 PM
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Falling Into the Data Mine: Avoiding the Pitfalls
Sam Koslowsky, Harte Hanks, Inc.
2:05 PM
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Detecting a Cutoff Point for Predictive Biomarkers in Clinical Trials Using Contrast Tests
Jianliang Zhang, MedImmune
2:20 PM
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Hot-Deck Multiple Imputation via Predictive Moment Matching
Chia-Ning Wang, University of Michigan; Roderick Joseph Little, University of Michigan
3:20 PM
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Issues on Threshold Selection in Predictive Biomarker Analysis
Li-an Xu, Bristol-Myers Squibb
3:20 PM
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Tuesday, 08/03/2010
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Robust Inference in Predictive Regressions
Paulo M.M. Rodrigues, Banco de Portugal; Antonio Rubia, University of Alicante
9:50 AM
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Modeling the Dynamics of Corporate Credit Ratings: Creating a Predictive Ratings Model
Meghan Rachel Kent, North Carolina State University; Terri Anna Johnson, North Carolina State University; Nicole Bader, North Carolina State University; Jenna Rice, North Carolina State University
10:05 AM
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An Improved Genetic Algorithm for Boosting in the Presence of Outliers
Dong-Yop Oh, The University of Alabama; J. Brian Gray, The University of Alabama
10:50 AM
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Applying Covariate-Adjusted, Response-Adaptive Randomization to Medical Device Studies
Thomas E. Gwise, FDA; Gene Anthony Pennello, FDA
10:55 AM
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Diagnostics for Bayesian Hierarchical Models of Response Time Data
Peter F. Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University; Trisha Van Zandt, The Ohio State University
10:55 AM
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Outlier Detection Methods for Improving Boosting
Waldyn Martinez Cid, The University of Alabama; J. Brian Gray, The University of Alabama
11:20 AM
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Thinning Random Forests
Jie Xu, The University of Alabama; J. Brian Gray, The University of Alabama
11:35 AM
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The Predictive Spatial Dirichlet Process with Application to Downscaling
Veronica J. Berrocal, Statistical and Applied Mathematical Sciences Institute; Sudipto Banerjee, University of Minnesota; Alan E. Gelfand, Duke University
11:35 AM
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A Doubly Robust Estimator in Comparing Predictive Values for Diagnostic Tests Under Missing at Random
Yoonjin Cho, GlaxoSmithKline
11:35 AM
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The Role of Proxy Genes in Predictive Models: An Application to Early Detection of Prostate Cancer
Jay Magidson, Statistical Innovations Inc.; William Oh, Mount Sinai School of Medicine; Robert Ross, Infinity Pharmaceuticals; Philip Kantoff, Dana-Farber Cancer Institute; Karl Wassmann, Source MDx
2:20 PM
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Imputation Strategies for Missing Binary Outcomes in Cluster Randomized Trials
Jinhui Ma, McMaster University; Noori Akhtar-Danesh, McMaster University; Lisa Dolovich, McMaster University; Lehana Thabane, McMaster University
2:35 PM
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Robust Multiple Imputation Based on Bayesian Bootstrap Predictive Mean Matching
Florian Koller-Meinfelder, Universität Bamberg
2:50 PM
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Wednesday, 08/04/2010
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Measuring Classifier Performance: A Penalty/Profit Perspective
Chamont Wang, The College of New Jersey; Kati Lentz, The College of New Jersey; Robert Stine, University of Pennsylvania
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Forecasting Clinical Trial Enrollment: A Case Study
Zachary Skrivanek, Eli Lilly and Company
9:05 AM
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The Value of Personalized, Predictive Risk-Assessment Tools for the Prevention of Chronic Diseases
Edward J. Moler, Tethys Bioscience, Inc.; Louis P. Garrison, University of Washington; Janice Kolberg, Tethys Bioscience, Inc.; Harald Rinde, BioBridge Strategies Switzerland; Sean D. Sullivan, University of Washington
9:35 AM
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Sequential Experiment Design for Emulator and Predictive Maturity
Brian Williams, Los Alamos National Laboratory; Jason Loeppky, The University of British Columbia; Leslie Moore, Los Alamos National Laboratory
10:35 AM
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Programming in SAS
Chris Stephens, SAS Institute; Robert Chengwen Chu, SAS Institute
10:55 AM
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Multiregional Trials Using Bayesian Statistical Approach
Kyoungah See, Eli Lilly and Company; Robert Noble, GSK
11:35 AM
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Estimating Uncertainty Bounds for Complex Demographic Models: A Case Study of Estimates of the Unauthorized Population in the United States
Dean Judson, Office of Immigration Statistics; Derekh Cornwell, Office of Immigration Statistics
11:50 AM
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The Posterior Predictive Information Criterion
Andrew Womack, Washington University in St. Louis
2:05 PM
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Small-Area Estimation of U.S. Health Disparities
Tanja Srebotniak, Ecologic Institute; Christopher J.L. Murray, Institute for Health Metrics and Evaluation; Ali Mokdad, Institute for Health Metrics and Evaluation; Rafael Lozano, Institute for Health Metrics and Evaluation
2:25 PM
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Predictive Probability Approach for the Design and Analysis of Response and Toxicity Data in Cancer Clinical Trials
J. Jack Lee, MD Anderson Cancer Center; Guosheng Yin, The University of Hong Kong; Nan Chen, M D Anderson Cancer Center
2:55 PM
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