Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
14
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 114
Translational Methods for the Assessment of Brain Function — Invited Papers
Section on Statistics in Imaging
Organizer(s): Jeff Goldsmith, Columbia University
Chair(s): Jeff Goldsmith, Columbia University
2:05 PM
Statistical Modeling of Brain Networks Using Multimodal Neuroimaging
Presentation
Ying Guo, Emory University ; Yingtian Hu, Emory University
2:30 PM
Template ICA: Estimating Resting-State Networks from fMRI in Individual Subjects Using Empirical Population Priors
Presentation
Amanda Mejia, Indiana University ; Yikai Wang, Emory University; Brian Caffo, Johns Hopkins University; Ying Guo, Emory University
2:55 PM
Spectral Causality in Multivariate Signals: Beyond Linearity
Presentation 1
Presentation 2
Hernando Ombao, King Abdullah University of Science and Technology ; Abdulrahman Althobaiti, Rutgers University and King Abdullah University of Science and Technology
3:20 PM
Intermodal Coupling Analytics for Function-Function and Function-Structure Mapping
Russell T Shinohara, University of Pennsylvania
3:45 PM
Floor Discussion
28
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 208
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Speed
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): Lu Chen, Worcester Polytechnic Institute
Poster Presentations
for this session.
2:05 PM
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Presentation
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
2:10 PM
Polynomial Based Approximate Probability Distributions
Chris Elrod, Baylor University ; James Stamey, Baylor University
2:15 PM
Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University ; Marieke Visser, Texas State University
2:30 PM
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Presentation
Martin Tveten, University of Oslo ; Ingrid Kristine Glad, University of Oslo
2:35 PM
Ranked Sparsity Methods for Transparent Model Selection
Presentation
Ryan Andrew Peterson, University of Iowa ; Joseph Cavanaugh, University of Iowa
2:40 PM
Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Presentation
Cui Guo, University of Michigan
2:45 PM
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
2:50 PM
Fast Generalised Linear Models in a Database
Presentation
Thomas Lumley, University of Auckland
3:00 PM
A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Presentation
Allison Hainline, Vanderbilt University ; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:05 PM
Creating Counting Process Intervals with Ease
Presentation
Cynthia Crowson, Mayo Clinic ; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
3:10 PM
Multi-Scale Vecchia Approximation of Gaussian Processes
Presentation
Jingjie Zhang, Texas A&M University ; Matthias Katzfuss, Texas A&M University
61
Sun, 7/29/2018,
4:00 PM -
5:50 PM
CC-East 14
Statistical Analysis of Complex-Valued MRI — Topic Contributed Papers
Section on Statistics in Imaging , SSC
Organizer(s): John Kornak, University of California, San Francisco
Chair(s): William Franz Lamberti, George Mason University
4:05 PM
Simulation of fMRI Data, a Complex-Valued Representation
Presentation
Kevin Liu, Marquette University ; Daniel Rowe, Marquette University
4:25 PM
Bayesian Image Analysis in Fourier Space for MRI Data
Presentation
John Kornak, University of California, San Francisco ; Karl Young, University of California, San Francisco (retired)
4:45 PM
Statistical Impacts of Reconstruction Method in Simultaneous Multislice Acquisition of fMRI
Benjamin Risk, Emory University ; Mary Kociuba, University of Washington; Daniel Rowe, Marquette University
5:05 PM
Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz ; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:25 PM
The Past, Present, and Future of Complex-Valued fMRI Activation
Presentation
Daniel Rowe, Marquette University
5:45 PM
Floor Discussion
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
Oral Presentations
for this session.
87
Sun, 7/29/2018,
8:30 PM -
10:30 PM
CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1:
The LISA 2020 Program to Build Statistics Capacity in Developing Countries
Eric Vance, LISA-University of Colorado Boulder
2:
Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model
Gurbakhshash Singh, University of Calgary ; Gordon Hilton Fick, University of Calgary
3:
Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University ; Daniel Fernandez, Victoria University of Wellington
4:
An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington ; Tyler McCormick, University of Washington
5:
A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval ; Christian Genest, McGill University; David A Stephens, McGill University
6:
Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary ; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7:
Flexible Accelerated Failure Time Model in Survival Analysis
Menglan Pang, McGill University ; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8:
Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University ; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9:
Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University
10:
Zero Counts in Single Cell RNA-Seq Data
Zhijin Wu, Brown University
11:
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University ; Stefan Wager, Stanford University
12:
Estimation of Fire Duration Distribution with Missing Start Time
Yi Xiong, Simon Fraser University ; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13:
Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI ; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
14:
Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University ; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
15:
A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor
16:
Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Love Tanzy, University of Rochester Medical Center ; Matthew N. McCall, University of Rochester Medical Center
17:
Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London ; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18:
Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University ; Matteo Bonvini, Carnegie Mellon University
19:
Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan
20:
Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick ; Edward Hughes, Edward Hughes Consulting
21:
Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data
Peter A Tait, McMaster Univeristy ; Paul McNicholas, McMaster University
22:
Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
23:
The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria ; Farouk Nathoo; Arif Babul, University of Victoria
24:
Infere
Steven Cumming, Université Laval
25:
Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space
Peng Liu, University of Alberta ; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26:
Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia ; William Welch, University of British Columbia
27:
Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University ; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28:
Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29:
A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
30:
Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
31:
A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria ; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
32:
The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication
Harlan Campbell, University of British Columbia ; Paul Gustafson, University of British Columbia
33:
Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
34:
Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University ; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35:
Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo ; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36:
Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne ; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37:
Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University ; Jiguo Cao, Simon Fraser University
38:
Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University ; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39:
Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems
Sahar Zangeneh, Fred Hutchinson Cancer Research Center ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40:
Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sung Duk Kim, National Cancer Institute ; Paul S Albert, National Cancer Institute
173 !
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 121
Recent Advances on Neuroimaging Analysis — Contributed Papers
Section on Statistics in Imaging , SSC
Chair(s): Shuo Chen, University of Maryland, School of Medicine
10:35 AM
Statistical Inference for Neuroimaging Genetics
Presentation
Long Feng, Yale University ; Xuan Bi, Yale University; Heping Zhang, Yale University School of Public Health
10:50 AM
Dependence Among Spectral-Based Measures Through Copulas: Theoretical Framework and Research on Change-Points
Charles Fontaine, King Abdullah University of Science and Technology ; Hernando Ombao, King Abdullah University of Science and Technology; Yongxin Zhu, King Abdullah University of Science and Technology
11:05 AM
Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes
Menghan Hu, Brown University ; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:20 AM
Signal Detection in Brain fMRI Using Global Bayes Factor for Rotation-Space Random Field
Mozhdeh Forghani, University of Northern Colorado ; Khalil Shafie, University of Northern Colorado
11:35 AM
Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Presentation 1
Presentation 2
Ryo Emoto, Nagoya University Graduate School of Medicine ; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:50 AM
Deep Feature Selection and Causal Inference for Alzheimer's Disease
Yuanyuan Liu, The University of Texas Health Science Center at Houston ; Qiyang Ge, Fudan University; Nan Lin, The University of Texas Health Science Center at Houston; Wenjia Peng, Bengbu Medical College; Rong Jiao, The University of Texas Health Science Center at Houston; Xuesen Wu, Bengbu Medical College; Momiao Xiong, The University of Texas Health Science Center at Houston
12:05 PM
Floor Discussion
243 !
Mon, 7/30/2018,
2:00 PM -
3:50 PM
CC-West 121
Brain Structural and Functional Connectivity Analysis — Contributed Papers
Section on Statistics in Imaging
Chair(s): Daniel Rowe, Marquette University
2:05 PM
Functional Mediation Analysis of Functional Magnetic Resonance Imaging Experiments
Presentation
Yi Zhao, Johns Hopkins Bloomberg School of Public Health ; Xi Luo, Brown University; Martin A Lindquist, Johns Hopkins University; Brian Caffo, Johns Hopkins University
2:20 PM
Frechet Estimation of Dynamic Covariance Matrices, with Application to Regional Myelination in the Developing Brain
Presentation
Alexander Petersen, University of California, Santa Barbara ; Hans Mueller, UC Davis; Sean Deoni, Brown University
2:35 PM
Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Presentation
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health ; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:50 PM
A Bayesian Nonparametric Approach to Estimating Dynamic Connectivity States in Brain Signals
Chee-Ming Ting, King Abdullah University of Science and Technology ; Hernando Ombao, King Abdullah University of Science and Technology
3:05 PM
Analysis of Resting-State Functional Brain Connectivity Using a Hierarchical Bayesian Mixture Model
Presentation
Anders Lundquist, Umea University ; Tetiana Gorbach, Umeå University; Xavier de Luna, Umeå University; Lars Nyberg, Umeå University; Alireza Salami, Karolinska Institute
3:20 PM
Comparison of Functional Brain Networks via Correlation Preserving Random Networks
Ixavier Higgins, Rollins School of Public Health-Emory University ; Suprateek Kundu, Emory University Rollins School of Public Health; Ying Guo, Emory University
3:35 PM
The Spatial Wishart Process and Its Applications to Diffusion Tensor Images
Presentation
Zhou Lan, North Carolina State University ; Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
273 * !
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 206/207
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging , ENAR, IMS, SSC
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
8:35 AM
Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data
Presentation
Todd Ogden, Columbia University ; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
9:00 AM
Multimodal Neuroimaging Analysis
Lexin Li, University of California at Berkeley
9:25 AM
Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization
Sean Jewell, University of Washington ; Daniela Witten, University of Washington
9:50 AM
New Approaches Towards Translational Neuroimaging
Martin A Lindquist, Johns Hopkins University
10:15 AM
Floor Discussion
342
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 209
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Speed
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Bo Chen, University of Toronto
Poster Presentations
for this session.
10:35 AM
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Presentation
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
10:40 AM
Beach Volleyball Team Optimization
Presentation
Matthew Oehler, BYU
10:45 AM
Distributions of Time to First Spot Fire
Presentation
Trevor Thomson, Simon Fraser University
10:50 AM
Rao-Blackwellizing Field Goal Percentage in the NBA
Presentation
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
10:55 AM
Estimating Attendance at Non-Ticketed Non-Gated Events
Presentation
Carl Schwarz, Simon Fraser University
11:10 AM
Teaching Statistics Graduate Students the Importance of Reproducible Research
Presentation
Kristen McQuerry, University of Kentucky
11:15 AM
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
11:20 AM
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:30 AM
To Bet or Not to Bet - the Modified Kelly Criteria
Presentation
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
11:35 AM
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Presentation
Jason Wilson, Biola University
11:40 AM
An Application of Machine Learning for 3D IC Defect Detection
Presentation
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
11:50 AM
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
11:55 AM
Application of Email Spam Filtering Algorithms to SMS Data
Presentation
Yishu Xue, University Of Connecticut
12:00 PM
MLB Rule IV Draft: Valuing Draft Pick Slots
Presentation
Anthony Cacchione, City College of New York
12:05 PM
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Presentation
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
435
Tue, 7/31/2018,
3:05 PM -
3:50 PM
CC-West Hall B
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Poster Presentations
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
2:
Beach Volleyball Team Optimization
Matthew Oehler, BYU
3:
Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
4:
Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
5:
Estimating Attendance at Non-Ticketed Non-Gated Events
Carl Schwarz, Simon Fraser University
8:
Teaching Statistics Graduate Students the Importance of Reproducible Research
Kristen McQuerry, University of Kentucky
9:
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
10:
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:
To Bet or Not to Bet - the Modified Kelly Criteria
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
12:
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Jason Wilson, Biola University
13:
An Application of Machine Learning for 3D IC Defect Detection
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
15:
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
16:
Application of Email Spam Filtering Algorithms to SMS Data
Yishu Xue, University Of Connecticut
17:
MLB Rule IV Draft: Valuing Draft Pick Slots
Anthony Cacchione, City College of New York
18:
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
Oral Presentations
for this session.
475
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 208
SPEED: Predictive Analytics with Social/Behavioral Science Applications: Spatial Modeling, Education Assessment, Population Behavior, and the Use of Multiple Data Sources — Contributed Speed
Social Statistics Section , Section on Statistics in Imaging, Survey Research Methods Section
Chair(s): Cami M. Fuglsby, South Dakota State University
Poster Presentations
for this session.
8:35 AM
Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao
8:40 AM
How to Implement Empirical Results of Complex Longitudinal Analysis Models into Microsimulation and Test the Sensitivity of Such Implementations
Dawid Bekalarczyk ; Petra Stein, University of Duisburg-Essen
8:45 AM
Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Presentation
Si Cheng, Yale School of Public Health ; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
8:50 AM
Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Presentation
Anna Tranfaglia
8:55 AM
A Multidimensional Array Model for Religiosity
Guangyu Tong, Duke University
9:00 AM
Challenges from Modeling Open Online Assessment Data
Presentation 1
Presentation 2
Yan Liu, The University of British Columbia ; Henrike Besche, Harvard Medical School; Audrey Béliveau, University of Waterloo; Xingyu Zhang, The Hong Kong University of Science and Technology; Edward Kroc, The University of British Columbia; Melanie Stefan, Edinburgh Medical School; Johanna Gutlerner, Harvard Medical School; Chanmin Kim, Boston University School of Public Health
9:05 AM
A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University ; Philip M Dixon, Iowa State University
9:10 AM
Matrix Linear Discriminant Analysis
Presentation
Wei Hu, University of California, Irvine
9:15 AM
Replicate Weights for Variance Estimation of Subnational Areas
Presentation
Stephanie Zimmer, RTI International ; Marcus Berzofsky, RTI International; Andrew Moore, RTI International
9:20 AM
Model-Based Socio-Economic Health Measures Using Causal Modeling
F. Swen Kuh, Australian National University ; Anton H. Westveld, Australian National University; Grace S Chiu, Australian National University
9:30 AM
A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Presentation
Scott Colwell, University of Guelph ; Theodore J Noseworthy, York University
9:35 AM
WORKING LIFE EXPECTANCY of MAJOR LEAGUE PITCHERS and FORECASTING the NUMBER of THEM: TASKS MADE EASY by USING the COHORT CHANGE RATIO METHOD
Presentation
David Swanson, University of California Riverside ; Jeff Tayman, University of California San Diego; Lucky Tedrow, Western Washington University; Jack Baker, Health Fitness Corporation
9:45 AM
Changing Trends in Legal Immigration: A Study of New U.S. Persons' Settling Pattern in Metropolitan Areas
Jesse Cambon, Office of Immigration Statistics ; Jiashen You, Office of Immigration Statistics, DHS
9:50 AM
Path Analysis of Personality and Physiologic Pathways in Muscle Strength Decline
Presentation
An-Lin Cheng, University of Missouri, Kansas City, School of Medicine
9:55 AM
Gaussian Variational Estimation for Multidimensional Item Response Theory
Presentation
April Eun Cho, University of Michigan ; Gongjun Xu, University of Michigan
10:00 AM
Collaborative Problem Solving Education in Global Perspective: The Evidence from PISA
Presentation
Mack Shelley, Iowa State University ; Senay Purzer, Purdue University
517 *
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 205
Multivariate Analysis of Brain Imaging Data in Mental Disorders — Topic Contributed Papers
Mental Health Statistics Section , Section on Statistics in Imaging
Organizer(s): Samprit Banerjee, Weill Medical College, Cornell University
Chair(s): Davide Risso, Weill Cornell Medicine
10:35 AM
Discovering Depression Subtypes with High-Dimensional Eigenvalue Estimation on Resting-State fMRI Data
Presentation
Samprit Banerjee, Weill Medical College, Cornell University
10:55 AM
New Statistical Methods for Analyzing Whole Brain Metabolites Using High-Resolution MRS Data
Presentation
Shuo Chen, University of Maryland, School of Medicine
11:15 AM
Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Presentation
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute ; Eva Petkova, NYU School of Medicine
11:35 AM
Genome-Wide Heritability Analysis with High-Dimensional Imaging Phenotypes
Presentation
Yize Zhao, Weill Cornell Medical College
11:55 AM
Discussant: Melanie M. Wall, Columbia University
12:15 PM
Floor Discussion
518
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 214
Special Session: Student Paper Competition — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Tingting Zhang, University of Virginia
Chair(s): John Kornak, University of California, San Francisco
10:35 AM
Longitudinal Independent Component Modeling Framework for fMRI Decomposition
Yikai Wang, Emory University ; Ying Guo, Emory University
10:55 AM
Adaptive Mantel Test for Penalized Inference, with Applications to Imaging Genetics
Presentation
Dustin Pluta, University of California, Irvine ; Tong Shen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology; Zhaoxia Yu, University of California, Irvine
11:15 AM
Bayesian Integrative Analysis of Radiogenomics
Presentation
Youyi Zhang, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical S ; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Shivali Narang Aerry, Engineering for Professionals, Whiting School of Engineering, Johns Hopkins University; Arvind U.K. Rao, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, UT MD Anderson Cancer Center
11:35 AM
Discussant: Xiwei Tang, University of Virginia
11:55 AM
Discussant: Zhengwu Zhang, University of Rochester Medical Center
12:15 PM
Floor Discussion
536
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West Hall B
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging
Chair(s): Paul McNicholas, McMaster University
64:
ADAPT: a Dynamic Approach to Probability Thresholding Based on Healthy Controls
Alessandra Valcarcel, University of Pennsylvania ; Russell T Shinohara, University of Pennsylvania
65:
A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta ; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta
66:
Big Data Visualization: User to Data Scientist
Dylan Martin, Purdue University ; Vetria Byrd, Purdue University
67:
Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
68:
Switching Regimes Time Series Models with Application to Changes Brain Connectivity in an fMRI-Movie Experiment
Marco Antonio Pinto-Orellana, Statistics, CEMSE Division. King Abdullah University of Science and Technology ; Chee-Ming Ting, King Abdullah University of Science and Technology; Jeremy Skipper, Institute for Multimodal Communication. University College London; Steven Small, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
69:
Estimation of the Linearity Point in Graphical Analysis
Anastasia Dmitrienko, Columbia University ; Francesca Zanderigo, Columbia University; Yuichi Kimura, National Institute of Radiological Sciences; Robert Todd Ogden, Columbia University
70:
Sparse Clustering for Network Data
Yura Kim, University of Michigan ; Elizaveta Levina, University of Michigan
71:
Automatic Extraction of Cell Nuclei from Pathological Images
Brendan Caseria, The University of Texas at Dallas ; Alsadig Ali, The University of Texas at Dallas; Yan Cao, The University of Texas at Dallas; Yifei Lou, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
72:
Analyzing Bias in Object Detection Data Sets
Meera Haridasa, Purdue University ; Cailey Farrell, Purdue University
73:
Fast Bayesian Sparse Learning via Thresholding Priors
Andrew Whiteman, University of Michigan ; Jian Kang, University of Michigan
74:
Bayesian Nonparametric Estimation of the Spectral Density Function, with Applications to Spectral Analysis of EEG Data
Guillermo Cuauhtemoctzin Granados Garcia, King Abdullah University of Science and Technology ; Hernando Ombao, King Abdullah University of Science and Technology; Mark Fiecas, University of Minnesota
75:
An Automated Probabilistic Algorithm for the Detection of Central Vein Sign in Multiple Sclerosis
Jordan Dworkin, University of Pennsylvania ; Pascal Sati, National Institute of Neurological Disorders and Stroke; Andrew Solomon, University of Vermont; Dzung Pham, Henry M. Jackson Foundation; Richard Watts, University of Vermont; Melissa Martin, University of Pennsylvania; Daniel Ontaneda, Cleveland Clinic; Matthew K Schindler, National Institute of Neurological Disorders and Stroke; Daniel S Reich, National Institute of Neurological Disorders and Stroke; Russell T Shinohara, University of Pennsylvania
76:
Genetic Analysis of Imaging Data Using Random-Effect Tensor Regression
Tong Shen, University of California, Irvine
77:
Adaptive designs in multi-reader multi-case clinical trials of imaging devices
Weijie Chen, FDA/CDRH ; Zhipeng Huang, FDA/CDRH; Lucas Tcheuko, FDA/CTP; Frank Samuelson, FDA/CDRH
538
Wed, 8/1/2018,
10:30 AM -
11:15 AM
CC-West Hall B
SPEED: Predictive Analytics with Social/Behavioral Science Applications: Spatial Modeling, Education Assessment, Population Behavior, and the Use of Multiple Data Sources — Contributed Poster Presentations
Social Statistics Section , Section on Statistics in Imaging, Survey Research Methods Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
22:
Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao
23:
How to Implement Empirical Results of Complex Longitudinal Analysis Models into Microsimulation and Test the Sensitivity of Such Implementations
Dawid Bekalarczyk ; Petra Stein, University of Duisburg-Essen
24:
Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Si Cheng, Yale School of Public Health ; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
25:
Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
26:
A Multidimensional Array Model for Religiosity
Guangyu Tong, Duke University
27:
Challenges from Modeling Open Online Assessment Data
Yan Liu, The University of British Columbia ; Henrike Besche, Harvard Medical School; Audrey Béliveau, University of Waterloo; Xingyu Zhang, The Hong Kong University of Science and Technology; Edward Kroc, The University of British Columbia; Melanie Stefan, Edinburgh Medical School; Johanna Gutlerner, Harvard Medical School; Chanmin Kim, Boston University School of Public Health
28:
A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University ; Philip M Dixon, Iowa State University
29:
Matrix Linear Discriminant Analysis
Wei Hu, University of California, Irvine
30:
Replicate Weights for Variance Estimation of Subnational Areas
Stephanie Zimmer, RTI International ; Marcus Berzofsky, RTI International; Andrew Moore, RTI International
31:
Model-Based Socio-Economic Health Measures Using Causal Modeling
F. Swen Kuh, Australian National University ; Anton H. Westveld, Australian National University; Grace S Chiu, Australian National University
32:
A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph ; Theodore J Noseworthy, York University
33:
WORKING LIFE EXPECTANCY of MAJOR LEAGUE PITCHERS and FORECASTING the NUMBER of THEM: TASKS MADE EASY by USING the COHORT CHANGE RATIO METHOD
David Swanson, University of California Riverside ; Jeff Tayman, University of California San Diego; Lucky Tedrow, Western Washington University; Jack Baker, Health Fitness Corporation
36:
Changing Trends in Legal Immigration: A Study of New U.S. Persons' Settling Pattern in Metropolitan Areas
Jesse Cambon, Office of Immigration Statistics ; Jiashen You, Office of Immigration Statistics, DHS
37:
Path Analysis of Personality and Physiologic Pathways in Muscle Strength Decline
An-Lin Cheng, University of Missouri, Kansas City, School of Medicine
38:
Gaussian Variational Estimation for Multidimensional Item Response Theory
April Eun Cho, University of Michigan ; Gongjun Xu, University of Michigan
39:
Collaborative Problem Solving Education in Global Perspective: The Evidence from PISA
Mack Shelley, Iowa State University ; Senay Purzer, Purdue University
Oral Presentations
for this session.
554 * !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 301
Deep Learning and Statistical Modeling with Applications — Invited Papers
Biometrics Section , Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC
Organizer(s): Hongtu Zhu, University of Texas M.D. Anderson
Chair(s): Chuanhai Liu, Purdue University
2:05 PM
Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:30 PM
Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Presentation
Ying Nian Wu, UCLA
2:55 PM
Think Deeper with Deep Learning
Presentation
Saratendu Sethi, SAS Institute Inc.
3:20 PM
Weight Normalized Deep Neural Networks
Presentation
Xiao Wang , Purdue University ; Yixi Xu, Purdue University
3:45 PM
Floor Discussion
562 *
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 304/305
Integrating Neuroimaging and Genomics Data — Invited Papers
Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Elizaveta Levina, University of Michigan
Chair(s): Elizaveta Levina, University of Michigan
2:05 PM
Genetic Correlations Between Imaging Traits and Common Diseases
Presentation
Hongyu Zhao, Yale
2:30 PM
Combining (Epi)Genetic and Imaging Data with Multivariate Data-Driven Models
Vince Calhoun, The Mind Research Network & The University of New Mexico
2:55 PM
Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases
Jean Yee Hwa Yang, University of Sydney, Australia ; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
3:20 PM
Discussant: Hongtu Zhu, University of North Carolina
3:45 PM
Floor Discussion
620 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 215/216
Axles for Voxels: Recent Statistical Advances in Neuroimaging Data Analysis — Topic Contributed Papers
ENAR , Section on Statistics in Imaging
Organizer(s): Dipankar Bandyopadhyay, Virginia Commonwealth University
Chair(s): Sourav Santra, Cytel
8:35 AM
A Time-Varying AR, Bivariate DLM of Functional Near-Infrared Spectroscopy Data
Presentation
Timothy Johnson, Univ of Michigan
8:55 AM
A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Presentation
Farouk Nathoo ; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
9:15 AM
Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis
Li Ma, Duke University ; Meng Li, Rice University
9:35 AM
Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data
Presentation
Ivor Cribben, University of Alberta
9:55 AM
Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Presentation
Dipankar Bandyopadhyay, Virginia Commonwealth University ; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
10:15 AM
Floor Discussion
657 *
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-West 204
Statistical Network Models for Brain Connectivity Data Analysis — Topic Contributed Papers
Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Shuo Chen, University of Maryland, School of Medicine
Chair(s): Ming Wang, Pennsylvania State University
10:35 AM
Statistical Topology of Brain Activity Networks
Presentation
Victor Solo, University of New South Wales ; Ben Cassidy, Columbia University
10:55 AM
Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Presentation
Yishi Xing ; Shuo Chen, University of Maryland, School of Medicine
11:15 AM
Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health ; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:35 AM
Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:55 AM
Floor Discussion
