Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
49 * !
Sun, 7/29/2018,
4:00 PM -
5:50 PM
CC-West 213
Skills to Leverage and Gaps to Fill to Thrive in Data Science — Invited Papers
Section on Statistical Consulting , Committee on Applied Statisticians, Section on Statistical Learning and Data Science, SSC, Quality and Productivity Section
Organizer(s): Eric Vance, LISA-University of Colorado Boulder
Chair(s): James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
4:05 PM
Communication and Collaboration Skills for the Era of Data Science
Presentation
Eric Vance, LISA-University of Colorado Boulder
4:30 PM
From Academia to Industry: Statistical Skills That Translate
Olivia Lau, Google
4:55 PM
What Statisticians Need to Know to Work in Tech
Michael Brundage, Google, Inc.
5:45 PM
Floor Discussion
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
117 * !
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 118
Four Decades of Statistical Consulting — Topic Contributed Panel
Section for Statistical Programmers and Analysts , Biopharmaceutical Section, Section on Statistical Consulting, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kent Koprowicz, Axio Research LLC
Chair(s): Vipin Arora, Eli Lilly and Company
8:35 AM
Four Decades of Statistical Consulting
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Panelists:
Kent Koprowicz, Axio Research LLC Steve Kirby, Covance Inc. Natasa Rajicic, Cytel Inc. Lisa Weissfeld, Statistics Collaborative
10:10 AM
Floor Discussion
127 *
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-East 9
Communication and Technical Skills in Statistical Consulting and Collaboration — Contributed Papers
Section on Statistical Consulting
Chair(s): Ismael Flores Cervantes, Westat
8:35 AM
Preparing Future Leaders: Cultivating Communication with Wikipedia
Presentation
Michelle M Wiest, University of Idaho ; Christopher Williams, University of Idaho
8:50 AM
Transitioning Statistical Consultation Training Away from the Classroom
Viviana Rodriguez, Virginia Commonwealth University ; Adam Sima, Virginia Commonwealth University; Brian S Di Pace, Virginia Commonwealth University
9:05 AM
Sensory Attributes That Highly Distinguish Products Do Not Necessarily Drive Consumer Liking of the Said Products
Presentation
Jason Parcon, PepsiCo
9:20 AM
Adjusted T-Test for Data with a Small Number of Clusters
Presentation
Jia Wang, FDA-CTP ; Qian Li, FDA CTP
9:35 AM
Survival Analysis Applied to Agricultural Sciences
Presentation
Jung Ae Lee, University of Arkansas Agriculture Statistics Laboratory
9:50 AM
Left-Censored Data: the Orphan Child of Survival Analysis
Presentation
Brenda Gillespie, Univ of Michigan
10:05 AM
Floor Discussion
145 * !
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 204
Big Data Statistical Challenges and Opportunities in Industry — Invited Papers
Section on Statistical Consulting , Section on Risk Analysis, National Institute of Statistical Sciences, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:35 AM
Deep Analytics for Risk Analysis and Mitigation: From NLP Computer Vision to Sensors
Siddhartha Dalal, Columbia University
10:55 AM
Risk Analysis in Banking
Vijayan Nair, 215157
11:15 AM
Sound Statistical Inference from Big Data in the Insurance Industry
Presentation
Christopher Haydon Holloman, ICC
11:35 AM
Feature Engineering from Scratch
Andrew Smith, Google
11:55 AM
Discussant: James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
12:15 PM
Floor Discussion
323 * !
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 203
Graphics in Statistical Practice: Saying it with Pictures in the Classroom, Boardroom, or the Consulting Cube — Invited Papers
Section on Statistical Graphics , Section on Statistical Consulting, Biopharmaceutical Section
Organizer(s): Suddhasatta Acharyya, Novartis pharmaceuticals corporation
Chair(s): Brad Evans, Pfizer, Inc
10:35 AM
Graphics in the Classroom: Making Statistics Picturesque
Kaushik Ghosh, University of Nevada Las Vegas
11:00 AM
Graphics and Data Visualizations to Enhance Storytelling: Revealing Rather Than Obfuscating
Presentation
Abhijit Dasgupta, ARAASTAT
11:25 AM
Graphs for a Wider Audience: Distilling Complexity in Visuals to Inform Actions
Alicia Y. Toledano, Biostatistics Consulting, LLC
11:50 AM
Statistical Graphics in Drug Development: Dose-Finding to Dossier Submission
Suddhasatta Acharyya, Novartis pharmaceuticals corporation
12:15 PM
Floor Discussion
327 * !
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 215/216
Statistical Leadership: Insights from Experiences of Prominent Leaders — Invited Panel
Caucus for Women in Statistics , International Indian Statistical Association, Section on Statistical Consulting
Organizer(s): Vaneeta Kaur Grover, GlaxoSmithKline
Chair(s): Vaneeta Kaur Grover, GlaxoSmithKline
10:35 AM
Statistical Leadership: Insights from Experiences of Prominent Leaders
Presentation 1
Presentation 2
Presentation 3
Panelists:
G. David Williamson, Centers for Disease Control and Prevention Charmaine B Dean, University of Waterloo Bonnie LaFleur, HTG Molecular Diagnostics, Inc. William Brenneman, The Procter & Gamble Company
12:10 PM
Floor Discussion
328 *
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-East 10
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments — Invited Panel
Section on Statistical Consulting , ASA Caucus of Academic Representatives, Business Analytics/Statistics Education Interest Group, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Martin S. Levy, University of Cincinnati
Chair(s): Peng Wang, University of Cincinnati
10:35 AM
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Panelists:
Virginia Lesser, Oregon State University Shane Reese, Brigham Young University George P. McCabe, Purdue University Dipak Kumar Dey, University of Connecticut James Cochran, University of Alabama
12:10 PM
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
393 * !
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 301
A Life Cycle View of Statistics — Invited Panel
Section on Physical and Engineering Sciences , Section on Statistical Learning and Data Science, Section on Statistical Consulting, SSC
Organizer(s): David Steinberg, Tel Aviv University
Chair(s): David Steinberg, Tel Aviv University
2:05 PM
A Life Cycle View of Statistics
Presentation 1
Presentation 2
Presentation 3
Panelists:
Laura Freeman, Institute for Defense Analysis Ron S Kenett, KPA Group John Peterson, Glaxo-Smith-Kline Agus Sudjianto, Wells Fargo
3:40 PM
Floor Discussion
404 *
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM
Effectively Explaining Statistical Concepts to Researchers from Other Fields
Presentation 1
Presentation 2
Presentation 3
Panelists:
Natalie Blades, Brigham Young University Beth Chance, Cal Poly - San Luis Obispo Paul Roback, St Olaf College Heather Smith, Cal Poly Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM
Floor Discussion
430
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West Hall B
Contributed Poster Presentations: Section on Statistical Consulting — Contributed Poster Presentations
Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
69:
Perspectives from a Recent Graduate on Consulting in an Academic Medical Setting
Iram Usman, University of Alberta ; Dr. Rhonda J. Rosychuk, University of Alberta
70:
Transforming Data: a Case Study Using C-Peptide Data from Type 1 Diabetes Clinical Trials
Lia Weiner, Rho ; Lynette Keyes-Elstein, Rho; Karen Boyle, Rho
71:
Using Actor-Partner Interdependence Model (APIM) to Analyze Patient-Sibling Paired Data
Ke Yan, Medical College of Wisconsin ; Liyun Zhang, Medical College of Wisconsin; Craig Erker, Cincinnati Children's Hospital Medical Center; Julie Panepinto, Medical College of Wisconsin; Pippa Simpson, Medical College of Wisconsin
73:
Development and Comparison of Predictive Models for Woody Breast in Commercial Broilers
Andy Mauromoustakos, Univ. of Arkansas ; JUAN P CALDAS-CUEVA, University of Arkansas; CASEY OWENS-HANNING, University of Arkansas
74:
Comparison of Latent Variable Models with Black Box Methods to Classify Disease Flare
Jonathan Grotts
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.
533
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 120
SLDS CPapers NEW 2 — Contributed Papers
Section on Statistical Learning and Data Science , Section on Statistical Consulting
Chair(s): Xin Guo, The Hong Kong Polytechnic University
10:35 AM
Manifold Learning for Network Inference
Presentation
Mingyue Gao, The Johns Hopkins University ; Carey E Priebe, Johns Hopkins University; Minh Tang, Johns Hopkins University
10:50 AM
Real-World Learning Analytics: Modeling Student Academic Practices and Performance
Presentation
Chantal D. Larose, Eastern Connecticut State University ; Kim Y. Ward, Eastern Connecticut State University
11:05 AM
Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Presentation
Shihao Yang ; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:20 AM
Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Presentation
Bernard Lee, HedgeSPA Limited ; Nicos Christofides, Imperial College London
11:35 AM
Predictive Modeling Applied in National Reporter Cleaning
Xuemei Pan ; Mary Pritts, IBM; COBY LU, IBM
11:50 AM
Data Science in a Hurry
Iyue Sung
12:05 PM
Floor Discussion
560 * !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM
Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator
Richard De Veaux, Williams College
2:25 PM
Data for Good: Staying Sharp While Giving Back
David Corliss, Peace-Work
2:45 PM
An Old Dog Self-Teaching New Tricks
Presentation
Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM
Project Redux: If I Knew Then What I Know Now
Presentation
Mary J Kwasny, Northwestern University
3:25 PM
Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM
Floor Discussion
579
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-East 10
Building Bridges with Industry and Business for Statistical Programs — Topic Contributed Panel
Business Analytics/Statistics Education Interest Group , Section on Statistical Consulting
Organizer(s): Curt Hinrichs, SAS Institute, JMP Division
Chair(s): Scott Toney, Daniels College of Business, University of Denver
2:05 PM
Building Bridges with Industry and Business for Statistical Programs
Presentation
Panelists:
Sudipta Dasmohapatra, Duke University Mark Morreale, SAS Bill Thomas, Raytheon Nathaniel Payne, Global Relay Communications Inc.
3:40 PM
Floor Discussion
598 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 306
Statistical Partnerships in Excellence: Featuring SPAIG Award Winning Collaborations — Invited Papers
Stats. Partnerships Among Academe Indust. & Govt. Committee , Government Statistics Section, Health Policy Statistics Section, Section on Statistical Consulting, Section on Statistics in Defense and National Security
Organizer(s): Kelly H Zou, Pfizer Inc
Chair(s): John E Kolassa, Rutgers, the State University of New Jersey
8:35 AM
SPAIG Award Collaboration: Laboratory for Analytic Sciences
Presentation
Alyson Wilson, North Carolina State University
9:00 AM
SPAIG Award Collaboration: The National Science Foundation-Census Research Network (NCRN)
Presentation
Lars Vilhuber, Cornell University
9:25 AM
Soft Skills for Effective Collaborations and Communications
Presentation
Nancy Ann Bates, US Census Bureau
9:50 AM
Discussant: David Banks, Duke University
10:15 AM
Floor Discussion
607 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 117
Statistical Consulting in the Machine Age: Where Do You Stand? — Invited Papers
Section on Statistical Consulting
Organizer(s): Andrew Vesper, Deloitte Consulting LLP
Chair(s): Andrew Vesper, Deloitte Consulting LLP
8:35 AM
Statistical Consulting in the Age of Cognitive Computing, Deep Learning, and AI: Obsolete or Needed Now More Than Ever?
Nikola Andric, Deloitte Consulting LLP
8:55 AM
The Use of Machine Learning in the Pharmaceutical Industry: The Promise and the Peril
Presentation
Todd Sanger, Eli Lilly and Company
9:15 AM
The Use of Machine Learning and Statistics in the Technology Sector
Joseph Kelly, Google
9:35 AM
Start from Wherever You Are: How to Adopt the Data Science Mindset into Your Consulting Practice
Presentation
Isabella R Ghement, Ghement Statistical Consulting Company Ltd.
9:55 AM
Discussant: Sergiy Nesterko, Deloitte Canada
10:15 AM
Floor Discussion
610 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 118
Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice — Invited Panel
Section on Statistical Graphics , Section on Teaching of Statistics in the Health Sciences, Section on Statistical Consulting, Section for Statistical Programmers and Analysts, SSC
Organizer(s): Joseph Rigdon, Stanford University
Chair(s): Summer Han, Stanford University
8:35 AM
Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice
Presentation 1
Presentation 2
Presentation 3
Panelists:
Manisha Desai, Stanford University Christopher Lindsell, Vanderbilt University Phillip Schulte, Mayo Clinic Susan Halabi, Duke University Leah Welty, Northwestern University Mi-Ok Kim, University of California San Francisco
10:10 AM
Floor Discussion
663 * !
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-East 19
Topics in Large-Scale Online Experimentation — Topic Contributed Papers
Section on Statistical Consulting , Business and Economic Statistics Section, Quality and Productivity Section
Organizer(s): W. Duncan Wadsworth, Microsoft
Chair(s): W. Duncan Wadsworth, Microsoft
10:35 AM
Novelty/Primacy Effect Detection in Randomized Online Controlled Experiments
Presentation
Somit Gupta, Microsoft ; Jiannan Lu, Microsoft; Alex Deng, Microsoft Corporation
10:55 AM
Large-Scale Online Experimentation with Quantile Metrics
Presentation
Min Liu, LinkedIn Corp. ; Xiaohui Sun, LinkedIn; Maneesh Varshney, LinkedIn Corp.; Ya Xu, LinkedIn
11:15 AM
Advances in Measuring User Learning
Niall Cardin, Google Inc. ; Henning Hohnhold, Waymo
11:35 AM
A Decision-Theoretic Approach to A/B Testing
David Goldberg, eBay ; James Johndrow, Stanford University
11:55 AM
Mitigating Test-Control Interference in Marketplace Experimentation
Presentation
Duncan Gilchrist, Uber Technologies
12:15 PM
Floor Discussion
