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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

88 Sun, 7/31/2016, 6:00 PM - 8:00 PM CC-Hall F1 West
The Extraordinary Power of Data — Invited Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistical Graphics , Section on Statistics in Imaging , Business and Economic Statistics Section , Biometrics Section , ENAR , Section for Statistical Programmers and Analysts , Scientific and Public Affairs Advisory Committee , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistics in Marketing , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Tyler McCormick, University of Washington
1: Communicate Better with R, R Markdown, and Shiny — Garrett Grolemund, RStudio
2: Spectral Filtering for Spatial-Temporal Dynamics — Tian Zheng, Columbia University ; Lu Meng, Columbia University
3: A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data — Mohsen Bahrami, Virginia Tech ; Paul Laurienti, Wake Forest School of Medicine ; Thomas Arcury, Wake Forest School of Medicine ; Sean Simpson, Wake Forest School of Medicine
4: Cascaded High-Dimensional Histograms: A Generative Approach to Density Estimation — Siong Thye Goh, MIT ; Cynthia Rudin, Duke University
5: TV Advertising's Impact on Online Searches — Yonathan Schwarzkopf, Google ; Ying Liu, Google ; Makoto Uchida, Google ; Elissa Lee, Google ; Jim Koehler, Google
6: Modeling Connectivity in High-Dimensional Time Series Data via Factor Analysis — Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
7: Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis — Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University ; Jonathan Gellar, Mathematica Policy Research ; Philip Reiss, New York University/University of Haifa ; Ani Eloyan, Brown University
8: Law, Order, and Algorithms — Sharad Goel, Stanford University
9: Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling — Jessica Hwang, RAND Corporation ; John Adams, Kaiser Permanente ; Susan M. Paddock, RAND Corporation
10: Probabilistic Cause-of-Death Assignment Using Verbal Autopsies — Tyler McCormick, University of Washington ; Sam Clark, University of Washington ; Zehang Li, University of Washington
11: We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data — David G. Robinson, Stack Overflow
12: Data Science at Stitch Fix — Hilary Parker, Stitch Fix
13: Text Mining on Domain Names — Kenneth E. Shirley, Amazon
14: Fighting Fraud with Statistics! — Alyssa Frazee, Stripe
15: Forecasting Seasonal Epidemics with Ensemble Methods and Collective Human Judgment — Logan Conrad Brooks, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
16: Geometric Methods for Network Comparison and Multilevel Modeling — Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University
17: Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity — Manjari Narayan, Rice University ; Genevera Allen, Rice University
18: Estimating the Causal Impact of Recommendation Systems from Observational Data — Amit Sharma, Microsoft Research ; Jake Hofman, Microsoft Research ; Duncan Watts, Microsoft Research
19: The Future of the Journal Biostatistics — Dimitris Rizopoulos, Erasmus University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
20: Sample Size Calculations for Micro-Randomized Trials in MHealth — Peng Liao, University of Michigan ; Ji Sun, University of Michigan ; Susan A. Murphy, University of Michigan
 
 
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