This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

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Keyword Search Criteria: high dimensional data returned 11 record(s)
Sunday, 08/01/2010
An Approach to Nonparametric Regression in Moderate Dimensions
Mark Reimers, Virginia Commonwealth University
2:20 PM

Model-Free Feature Screening for Ultra High-Dimensional Data
Runze Li, Penn State; Li-Ping Zhu, Penn State; Li-Xing Zhu, Hong Kong Baptist University; Lexin Li, North Carolina State University
4:05 PM

Challenges and Possible Solutions for Survival Analysis with High-Dimensional Covariates
Sihai Dave Zhao, Harvard University/Dana-Farber Cancer Institute; Yi Li, Harvard University/Dana-Farber Cancer Institute
4:05 PM

Monday, 08/02/2010
Risk Predictions from Genomewide Association Data
Hongyu Zhao, Yale University; Jia Kang, Yale University; Ruiyan Luo, Yale University; Judy Cho, Yale University
8:35 AM

A Test for the Equality of Two Covariance Matrices When the Dimension Is Much Larger Than Two Sample Sizes
Jun Li, Iowa State University; Song X. Chen, Iowa State University/Peking University
8:50 AM

Tuesday, 08/03/2010
Discovering Influential Variables: A Partition-Based Learning Method to Identify Susceptible Genetic Risk Factors in Common Human Disorders
Tian Zheng, Columbia University; Herman Chernoff, Harvard University; Shaw-Hwa Lo, Columbia University
8:35 AM

Stepwise Paring Down Variation for Identifying Influential Multifactor Interactions
Jing-Shiang Hwang, Academia Sinica
8:50 AM

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

Wednesday, 08/04/2010
Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features
Jay Magidson, Statistical Innovations Inc.
2:50 PM

Thursday, 08/05/2010
A Novel Genome Continuum Model for Sequence-Based Association Studies
Li Luo, The University of Texas School of Public Health; Momiao Xiong, The University of Texas School of Public Health
8:35 AM

A Moderated Lawley-Hotelling--Type Trace Test for High-Dimensional Longitudinal Data: Its Application in Detecting Temporal Patterns in Time Course Microarray Data
Jemila Seid Hamid, Dalla Lana School of Public Health; Joseph Beyene, Macmaster University; Dietrich von Rosen, Swedish University of Agricultural Sciences
9:50 AM




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