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Keyword Search Criteria: High dimensional data returned 16 record(s)
Sunday, 08/04/2013
Analytical and Clinical Validation of Diagnostic Devices with Underlying High-Dimensional Input Data
Zhiheng Xu, FDA; Tinghui Yu, FDA/CDRH; Meijuan Li, FDA/CDRH; Lakshmi Vishnuvajjala, FDA/CDRH Division of Biostatistics
2:05 PM

High-Dimensional Factor Analysis with Sparse Procrustean Rotation for Gene Discovery and Genetic Risk Assessment
Randy Carter, University At Buffalo; Netsanet Imam, Virginia Bioinformatics Institute
2:35 PM

Monday, 08/05/2013
An Alternative Sample Size Method for Training Survival Risk Predictors in High Dimensions
Kevin Dobbin, University of Georgia; Xiao Song, University of Georgia
10:35 AM

Sparse Multivariate Factor Regression Models and Its Application to High-Throughput Array Data Analysis
Yan Zhou, University of Michigan; Peter X.K. Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM

Statistical Linkage Across High-Dimensional Observational Domains
Leonard Hearne; Toni Kazic, University of Missouri at Columbia
10:35 AM

Shrinkage Estimation for High Dimensional
Xiaoli Gao, Oakland university; Ejaz Syed Ahmed, Brock University
11:50 AM

Tuesday, 08/06/2013
A Bayesian Prediction Model of Severe Intra-Ventricular Hemorrhage in Very Pre-Term Infants
Michael Anderson, The University of Oklahoma; Suzanne Dubnicka, Department of Statistics, Kansas State University; Shahab Noori, Newborn and Infant Critical Care, Children's Hospital Los Angeles
9:05 AM

Marginal Empirical Likelihood and Sure Independence Feature Screening
Jinyuan Chang, Peking University; Cheng Yong Tang, University of Colorado Denver; Yichao Wu, NC State University
10:35 AM

Composite Large-Margin Classifiers with Latent Subclasses
Guanhua Chen, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina; Michael R. Kosorok, The University of North Carolina-Chapel Hill
10:40 AM

Two-Sample Tests for High-Dimensional Binary Data
Amanda Peterson, UMBC; Junyong Park, UMBC
11:05 AM

Functional Linear Models for Association Analysis of Quantitative Traits
Ruzong Fan, National Institutes of Health; Yifan Wang, National Institutes of Health; Momiao Xiong, The University of Texas; James L. Mills, NICHD, National Institutes of Health; Alexander F, Wilson, NHGRI, National Institutes of Health; Joan E. Bailey-Wilson, NHGRI, National Institutes of Health
11:20 AM

A Comprehensive Analytical Pipeline for a Genome-Wide Association Study of Bronchopulmonary Dysplasia: From SNP to Copy Number Variation and from Gene to Pathway
Hui Wang, Stanford University; Krystal R St. Julien, Stanford School of Medicine; David K Stevenson, Stanford School of Medicine; Thomas J. Hoffmann, University of California San Francisco; John S Witte, University of California San Francisco; Laura C. Lazzeroni, Stanford University; Mark A. Krasnow, Stanford School of Medicine; Cele C. Quaintance, Stanford School of Medicine; John W. Oehlert, Stanford School of Medicine; Laura L. Jelliffe-Pawlowski, California Genetic Disease Screening Program; Jeffrey B. Gould, Stanford School of Medicine; Gary M Shaw, Stanford School of Medicine; Hugh O'Brodovich, Stanford School of Medicine
12:05 PM

Wednesday, 08/07/2013
Semiparametric Robust Methods for Biomarker Discovery Among Potential Confounders: A Marriage of Targeted Maximum Likelihood Estimation and Limma
Sara Kherad-Pajouh, University of California, Berkeley; Alan Hubbard, UC Berkeley; Cliona M. McHale, University of California at Berkeley; Luoping Zhang , University of California at Berkeley; Martyn T. Smith, University of California at Berkeley
9:50 AM

Thursday, 08/08/2013
Variable Importance in Matched Case Control Studies in Settings of High-Dimensional Data
Raji Balasubramanian, Division of Biostatistics and Epidemiology; E. Andres Houseman, College of Public Health and Human Sciences, Oregon State University; Brent A. Coull, Harvard School of Public Health; Michael Lev, Massachusetts General Hospital; Lee Schwamm, Massachusetts General Hospital; Rebecca A. Betensky, Harvard School of Public Health
8:35 AM

Principled Regularization for Matrix Factorization
Robert M. Bell, AT&T Labs-Research; Suhrid M. Balakrishnan, AT&T Labs-Research
11:00 AM

Network-Based Integrative Analysis and Marker Selection with Ultrahigh Dimensional Data
Shuangge Ma, Yale University
11:25 AM




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