Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
84
Sun, 7/29/2018,
4:00 PM -
4:45 PM
CC-West Hall B
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Poster Presentations
Mental Health Statistics Section , Section on Statistical Computing , Section on Statistics in Imaging , Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Abdul Salam, Hamad Medical Corporation ; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
22:
Polynomial Based Approximate Probability Distributions
Chris Elrod, Baylor University ; James Stamey, Baylor University
23:
Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University ; Marieke Visser, Texas State University
27:
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo ; Ingrid Kristine Glad, University of Oslo
28:
Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa ; Joseph Cavanaugh, University of Iowa
29:
Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
30:
Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals ; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
31:
Fast Generalised Linear Models in a Database
Thomas Lumley, University of Auckland
32:
A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University ; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
33:
Creating Counting Process Intervals with Ease
Cynthia Crowson, Mayo Clinic ; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
34:
Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University ; Matthias Katzfuss, Texas A&M University
