JSM 2015 Preliminary Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details


249 * ! Mon, 8/10/2015, 2:00 PM - 3:50 PM CC-213
Statistical Methods for Neuroimaging Data Analysis I — Contributed Papers
Section on Statistics in Imaging , Biometrics Section
Chair(s): Daniel Rowe, Marquette University
2:05 PM Dynamic Network Analysis in Resting-State fMRI for Alzheimer's Disease Heather Shappell ; Yorghos Tripodis, Boston University ; Ronald J. Killiany, Boston University ; Eric Kolaczyk, Boston University
2:20 PM A Bayesian Signal-Detection Procedure for Rotation-Space Random Fields Mozhdeh Forghani, UC Irvine ; Khalil Shafie, University of Northern Colorado
2:35 PM Some Likelihood Ratio Tests for Signal Detection from fMRI Brain Images Khalil Shafie, University of Northern Colorado
2:50 PM Two-Stage Dose and Reconstruction Screening Study Design for Use in Human Observer Studies Rickey Carter, Mayo Clinic ; Adam Bartley, Mayo Clinic ; Alicia Toledano, Biostatistics Consulting, LLC ; Cynthia McCollough, Mayo Clinic ; Joel Fletcher, Mayo Clinic
3:05 PM Nonparametric Variogram Modeling with Hole Effect Structure in Analyzing the Spatial Characteristics of fMRI Data Jun Ye, The University of Akron ; Nicole A. Lazar, University of Georgia ; Yehua Li, Iowa State University
3:20 PM Fast Integrated Genetic Effect Investigation on Imaging Data Using Weighted Score Test via Functional Mixed Effects Model Ja-An Lin, The University of North Carolina at Chapel Hill ; Joseph Ibrahim, The University of North Carolina ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill
3:35 PM Low-Rank Matrix Regression Models for Large-Scale Imaging Genetic Data Dehan Kong, The University of North Carolina at Chapel Hill ; Baiguo An, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill




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