Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
8 * !
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-331/332
Statistics and the Reproducibility Crisis — Invited Papers
The American Statistician , Section for Statistical Programmers and Analysts , Section on Statistics in Genomics and Genetics , Caucus for Women in Statistics , Conference on Statistical Practice Steering Committee
Organizer(s): Nicole Lazar, University of Georgia
Chair(s): Nicole Lazar, University of Georgia
2:05 PM
The Tools for Reproducibility Exist; P-Values Aren't the Problem; It's Time for the Real Work of Data Science
—
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
2:30 PM
P-Values: Variability, Reproducibility and Lessons from Multiple Testing
—
Naomi Altman, Penn State University
2:55 PM
Resolving the Reproducibility Crisis Using Bayesian Inference
—
Andrew Gelman, Columbia Unversity ; Blake McShane, Northwestern University
3:20 PM
Discussant: Valen Johnson, Texas A&M University
3:45 PM
Floor Discussion
17 * !
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-350
Communication and Collaboration: Greatest Hits from CSP! — Topic Contributed Papers
Conference on Statistical Practice Steering Committee , Section for Statistical Programmers and Analysts , Statistics Without Borders , Conference on Statistical Practice Steering Committee
Organizer(s): MoonJung Cho, U.S. Bureau of Labor Statistics
Chair(s): Jean Adams, US Geological Survey
2:05 PM
Coming Out of the Casket: Techniques for Becoming a More Effective Speaker
—
Eric Stephens, Vanderbilt University Medical Center
2:25 PM
The Face of the Statistical Consultant
—
Philip Rocco Scinto, Lubrizol
2:45 PM
Explaining Statistics to Non-Statisticians
—
Heather Smith, CalPoly ; Eric Vance, LISA-University of Colorado Boulder
3:05 PM
Using Video to Improve Your Collaboration Skills
—
Eric Vance, LISA-University of Colorado Boulder ; Heather Smith, CalPoly
3:25 PM
Some Lessons I've Learned on Leadership and Influence During My Career
—
Nathaniel Schenker, Retired
3:45 PM
Floor Discussion
26 *
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-318
Data Editing: How Much Is Too Much? — Topic Contributed Panel
Social Statistics Section , Survey Research Methods Section , Section for Statistical Programmers and Analysts
Organizer(s): Peter Frechtel, RTI International
Chair(s): Peter Frechtel, RTI International
2:05 PM
Data Editing: How Much Is Too Much?
Panelists:
Rebecca Ahrnsbrak, Substance Abuse and Mental Health Services Administration
Chrishelle Lawrence, U.S. Energy Information Administration
Darcy Miller, National Agricultural Statistics Service
Kirk Mueller, U.S. Bureau of Labor Statistics
Justin Nguyen, U.S. Census Bureau
3:40 PM
Floor Discussion
45 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-336
The Impact of Statistics on Government Policy — Invited Papers
Committee on ASA Archives and Historical Materials , Section for Statistical Programmers and Analysts
Organizer(s): James Cochran, University of Alabama
Chair(s): James Cochran, University of Alabama
4:05 PM
Statistics on the Hill: Data Analysis for Congressional Oversight, Program Evaluation, and Policy Analysis
—
Nancy Kingsbury, U.S. Government Accountability Office ; Jeff Tessin, U.S. Government Accountability Office ; Anna Maria Ortiz, U.S. Government Accountability Office ; Courtney LaFountain, U.S. Government Accountability Office ; Michael Hoffman, U.S. Government Accountability Office
4:25 PM
Statistics and the Census: A Historical Journey
—
Lynne Billard, University of Georgia
4:45 PM
Aftermath of Katrina: Data for Core Public Health Programs and Emergency Preparedness
—
Glen David Williamson, CDC/ATSDR
5:05 PM
Statistics Are Evidence; Evidence Is Statistics
—
Katherine Kersten Wallman
5:25 PM
Discussant: Nancy Gordon
5:45 PM
Floor Discussion
59 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-338
Evidence-Generation via Big Data in the Real-World Setting — Topic Contributed Papers
Stats. Partnerships Among Academe, Indust. & Govt. Committee , Health Policy Statistics Section , International Chinese Statistical Association , Section for Statistical Programmers and Analysts
Organizer(s): Kelly H. Zou, Pfizer Inc
Chair(s): Aiyi Liu, National Institutes of Health/NICHD
4:05 PM
Automated Learning Techniques for Electronic Health Record (EHR) Unstructured Notes
—
Michael Sanky, Optum ; Balaji Ramesh, Optum
4:25 PM
Evaluation the Quality of Electronic Health Record Data
—
Ying Lu, Department of Biomedical Data Science, Stanford University School of Medicine ; Hui Wang, Palo Alto VA Health Care System ; Jennifer Shuwen Lee, Stanford University and VA Palo Alto Health Care System ; Phiip S Tsao, Stanford University and Palo Alto VA Health Care System
4:45 PM
Leverage Real World Data to Support Drug Safety Surveillance: Cases Studies of the Applications
—
Xiaofeng Zhou, Pfizer Inc ; Andrew Bate, Pfizer
5:05 PM
Drug Safety and Comparative Effectiveness at Massive Scale
—
Yuxi Tian, David Geffen School of Medicine At UCLA ; Marc A. Suchard, University of California, Los Angeles ; Martijn Schuemie, Janssen Research and Development
5:25 PM
Combining Clinical and Nonclinical Big Data from Multiple Sources
—
Javier Cabrera, Rutgers University ; Birol Emir, Pfizer Inc ; Demissie Alemayehu, Pfizer Inc
5:45 PM
Floor Discussion
65 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-349
Building a New and Essential Statistics Toolbox for Challenges in Finance and Business Analytics — Topic Contributed Papers
Business and Economic Statistics Section , Section for Statistical Programmers and Analysts , Section on Risk Analysis , Statistics in Business Schools Interest Group
Organizer(s): Kai-Sheng Song , Department of Mathematics, University of North Texas
Chair(s): Ta-Hsin Li, IBM Watson Research Center
4:05 PM
On Corporate Bankruptcy Prediction
—
Yan Yu, University of Cincinnati ; Aidong Ding, Northeastern University ; Shaonan Tian, San Jose State University ; Hui Guo, University of Cincinnati
4:25 PM
Stochastic Tail Index Model for High Frequency Financial Data with Bayesian Analysis
—
Zhengjun Zhang, University of Wisconsin ; Guangyu Mao, Beijing Jiaotong University
4:45 PM
A Statistical Approach to Corporate Debt Structure
—
Kai-Sheng Song , Department of Mathematics, University of North Texas
5:05 PM
Firm-Specic Risk-Neutral Distributions: The Role of CDS Spreads
—
Mohammad Jahan-Parvar, Federal Reserve Board of Governors ; Sirio Aramonte, Federal Reserve Board ; Samuel Rosen , University of North Carolina, Kenan-Flagler Business School ; John Schindler, Federal Reserve Board
5:25 PM
Exploration of Innovating Business with Analytics
—
Mingfei Li, Bentley University
5:45 PM
Floor Discussion
76
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-345
Sample Design — Contributed Papers
Survey Research Methods Section , International Indian Statistical Association , Section for Statistical Programmers and Analysts , Statistics Without Borders
Chair(s): Aref Dajani
4:05 PM
Accuracy in Contact Information for Website Registrations
—
Steven Pedlow, NORC at the University of Chicago ; John Lickfett, NORC at the University of Chicago ; Edward Mulrow, NORC ; Yongheng Lin, NORC at the University of Chicago
4:20 PM
Identifying Out of Business Records on the NASS List Frame Using Boosted Regression Trees
—
Gavin Corral, USDA NASS ; Andrew Dau, USDA NASS
4:35 PM
Analyzing the Need for an Oversample of Low Income Beneficiaries in the Medicare Current Beneficiary Survey
—
Ying Li, NORC at the University of Chicago ; Whitney Murphy, NORC at the University of Chicago ; Kirk Wolter, NORC at the University of Chicago ; Debra Reed-Gillette , Centers for Medicare & Medicaid Services ; Cheryl L. Sharpless, CMS
4:50 PM
Software Solutions to Sample Design Problems That Are Equivalent to Solving a Transshipment Problem
—
Richard Sigman, Westat ; Mike Kwanisai, Westat
5:05 PM
Analysis and Results of a Bonded Labor Prevalence Survey in Tamil Nadu, a State of India
—
Paul Zador, Westat ; Beth Ann Rabinovich, Westat
5:20 PM
Design and Implementation of a Rapid, Population-Based Survey for the Zika Emergency Response Effort in Puerto Rico
—
Holly Shulman, CDC ; Brian Morrow, CDC ; Beatriz Salvesen von Essen Lopez, Puerto Rico Department of Health ; Wanda Hernandez Virella, Puerto Rico Department of Health
5:35 PM
Exploring Sampling Techniques to Reduce Respondent Burden
—
Yijun Wei ; Valbona Bejleri, National Agricultural Statistics Service
78 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-350
Statistical Consulting Applications — Contributed Papers
Section on Statistical Consulting , Section for Statistical Programmers and Analysts , Statistics in Business Schools Interest Group
Chair(s): James Grady, University of Connecticut Health Center
4:05 PM
Statistical Consulting: How Many Specimens Per Patient Should We Have for Improved Accuracy of Prosthetic Joint Infection?
—
Jayawant Mandrekar, Mayo Clinic
4:20 PM
Disentangling Complex Multivariate Categorical Data
—
Ralph Turner
4:35 PM
Does the Story Behind Preference Change with Varying Mapping Techniques?
—
Jason Parcon, PepsiCo
4:50 PM
Managing the Response to Gas Leaks: a Case Study in Business Analytics
—
Samuel Woolford, Bentley University ; Charles Hadlock, Bentley University
5:05 PM
Statistical Modeling on Ingredients for Sugar Reduction
—
Shankang Qu, PepsiCo ; Patricia Delease, PepsiCo
5:20 PM
Exploratory Approaches for Determination of Important Physical Attributes of Cigarettes in the Yields of Tar, Nicotine and CO: a Case Study
—
Christopher Ellison, Food and Drug Administration ; Qian Li, Food and Drug Administration
5:35 PM
Predicting Crude Oil Price Using the Non-Stationary Extreme Value Modeling
—
Kumer Das, Lamar University ; Audrene Edwards, Lamar University
83
Sun, 7/30/2017,
8:30 PM -
10:30 PM
CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1:
Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO)
—
Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2:
A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest
—
Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3:
Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations
—
Gwendolyn Eadie, McMaster University ; Benjamin Keller, McMaster University ; William Harris, McMaster University ; Aaron Springford, Queen's University
4:
Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
—
David Van Dyk, Imperial College London ; Sara Algeri, Imperial College London ; Jan Conrad, University of Stockholm
5:
Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
—
David Craig Stenning, SAMSI/Duke University ; Working Group 1 ASTRO Program, SAMSI
6:
The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression
—
Wei Sun, Fred Hutchinson Cancer Research Center
7:
Rerandomization: a Flexible Framework for Experimental Design
—
Kari Lock Morgan, Penn State University
8:
IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression
—
Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9:
Detecting Differential Gene Expression by Single-Cell RNA Sequencing
—
Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10:
Statistical Science and Policy at the EPA
—
Elizabeth Mannshardt, US Environmental Protection Agency
11:
Approximate Message Passing Algorithms for High-Dimensional Regression
—
Cynthia Rush, Columbia University
12:
Generalized Fiducial Inference for High-Dimensional Data
—
Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13:
The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution
—
Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14:
Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees
—
Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15:
R Package TDA for Statistical Inference on Topological Data Analysis
—
Jisu Kim, Carnegie Mellon University
16:
Teaching a Large, Project-Based Statistical Consulting Class
—
Emily Griffith, NC State University
17:
Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential!
—
Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18:
The Geometry of Synchronization Problems and Learning Group Actions
—
Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19:
Sufficient Markov Decision Processes with Alternating Deep Neural Networks
—
Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20:
Optimal Dynamic Treatment Regimes Using Decision Lists
—
Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21:
Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression
—
Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22:
Computer Vision Meets Television
—
Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23:
Generalized Fiducial Inference for Nonparametric Function Estimation
—
Randy C.S. Lai, University of Maine
24:
A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data
—
Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25:
Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
—
John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26:
Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
—
Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27:
Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments
—
Alexandra Chouldechova, Carnegie Mellon University
28:
I Ran a Nonresponse Follow-Up Survey; Now What Do I Do?
—
Phillip Kott, RTI
101
Mon, 7/31/2017,
8:30 AM -
10:20 AM
CC-310
Foundation for Big Data Analysis — Invited Papers
IMS , Section on Statistical Learning and Data Science , Section on Nonparametric Statistics , Section for Statistical Programmers and Analysts
Organizer(s): Jianqing Fan, Princeton University
Chair(s): Jianqing Fan, Princeton University
8:35 AM
Inference for Large Networks
—
Peter Bickel, UC Berkeley ; purna sarkar, u. of texas ; Soumendu Mukherjee, UC Berkeley
9:00 AM
Inference for Big Data
—
Larry Wasserman, Carnegie Mellon
9:25 AM
Eigenvalues and Variance Components
—
Iain M Johnstone, Stanford Universty
9:50 AM
Error Variance Estimation in Ultra-High Dimensional Regression Models
—
Runze Li, The Pennsylvania State University ; Zhao Chen, The Pennsylvania State University ; Jianqing Fan, Princeton University
10:15 AM
Floor Discussion
144 !
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-336
Uncover the Essential Truth by Integrating Big and Complex Imaging Data with New Statistical Tools — Invited Papers
SSC , IMS , Section on Statistics in Imaging , Section for Statistical Programmers and Analysts
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Adam Kashlak, Univ of Cambridge
10:35 AM
A Bayesian Approach to SENSE Image Reconstruction in fMRI
—
Daniel B. Rowe, Marquette University
11:00 AM
A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics
—
Stephen Strother, Baycrest & University of Toronto ; Cheryl Grady, Baycrest & University of Toronto
11:25 AM
Classification Using the Morlet Transform for fMRI Data
—
Debashis Ghosh, Colorado School of Public Health ; Manish Dalwani, Colorado School of Medicine
11:50 AM
A Potts Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data
—
Yin Song, University of Victoria ; Farouk Nathoo, University of Victoria
12:15 PM
Floor Discussion
164
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-313
Random and Mixed Effect Models — Contributed Papers
Biometrics Section , Section for Statistical Programmers and Analysts
Chair(s): Kathryn Barger
10:35 AM
Meta-Analysis of Incidence of Rare Events Using Individual Patient-Level Data
—
Chen Chen, The George Washington University ; Yan Ma, The George Washington University ; Yong Ma, FDA/CDER/OTS/OB/DB VII
10:50 AM
A Site-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
—
Brian Di Pace, Virginia Commonwealth Univ ; Roy T Sabo, Virginia Commonwealth University
11:05 AM
LARGE-SCALE HYPOTHESIS TESTING with a THREE-COMPONENT BETA CONTAMINATION MODEL
—
Ya Qi ; Richard Charnigo, University of Kentucky
11:20 AM
Linear Modal Regression with Errors in Variables
—
Xiang Li, University of South Carolina ; Xianzheng Huang, University of South Carolina
11:35 AM
A Modified Mixed Model Approach to the Large Scale Multiple Testing Problem
—
John Grego, Univ of South Carolina ; Paramita Chakraborty, Department of Statistics, University of South Carolina ; Chong Ma, University of South Carolina Columbia ; James Lynch, Department of Statistics, University of South Carolina
11:50 AM
On the Effect of Co-Exposure to Multiple Toxicants
—
Xinhua Liu, Columbia University ; Zhezhen Jin, Columbia University
12:05 PM
Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model
—
Alfred Mbah
200
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-Ballroom I
Introductory Overview Lecture: Data Science: A Collaboration of Statistics and Computer Science — Invited Special Presentation
JSM Partner Societies , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): David Van Dyk, Imperial College London
Chair(s): Bin Yu, University of California, Berkeley
2:05 PM
Data Science: Collaborations Across Computer Science and Statistics
—
Lise Getoor, University of California, Santa Cruz
2:55 PM
Statistical Learning with Big Data
—
Robert Tibshirani, Stanford University
3:45 PM
Floor Discussion
213 !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-318
Training Statisticians to Be Effective Instructors — Invited Panel
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section for Statistical Programmers and Analysts , Statistics in Business Schools Interest Group
Organizer(s): Jacqueline Milton, Boston University
Chair(s): Jacqueline Milton, Boston University
2:05 PM
Training Statisticians to Be Effective Instructors
Panelists:
Meghan Short, Boston University
Jennifer Kaplan, University of Georgia
Patricia Buchanan, Penn State University
Paul Stephenson, Grand Valley State University
Adam Loy, Lawrence University
3:40 PM
Floor Discussion
278
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-327
Statistical Programmers: New Brand of Leaders — Invited Panel
Section for Statistical Programmers and Analysts , Biopharmaceutical Section , Section on Statistical Consulting , Statistics in Business Schools Interest Group
Organizer(s): Vipin Arora, Eli Lilly and Company
Chair(s): Vipin Arora, Eli Lilly and Company
8:35 AM
Statistical Programmers - New Brand of Leaders
Panelists:
Nebiyou Bekele, Gilead Sciences
Pandu Kulkarni, Eli Lilly and Company
Paul Schuette, FDA CDER
Jonathan Lisic, USDA/NASS
Steven Kirby, Chiltren
10:10 AM
Floor Discussion
293
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-326
SPEED: Computing, Graphics, and Programming Statistics — Contributed Speed
Section on Statistical Computing , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistical Learning and Data Science
Chair(s): Collin Eubanks, Carnegie Mellon University
8:35 AM
Where Does All the Time Go? Measuring Clients' Service Utilization via Time-Tracking Software
—
Dou-Yan Yang, University of Wisconsin--Madison ; Jeff Havlena, University of Wisconsin--Madison
8:40 AM
Persistence Terrace for Topological Inference of Point Cloud Data
—
Chul Moon, University of Georgia ; Noah Giansiracusa, Swarthmore College ; Nicole Lazar, University of Georgia
8:50 AM
Generalized Bi-Plots for Visualized Multidimensional Projections
—
James Fry, Virginia Tech ; Matt Slifko, Virginia Tech ; Scotland Leman, Virginia Tech
8:55 AM
Dynamic Network Community Discovery
—
Shiwen Shen ; Edsel Aldea Pena, University of South Carolina
9:05 AM
Maintaining Trial Integrity for Randomized Open-Label Trials
—
Wenyun Ji, Amgen, Inc.
9:10 AM
A Mixture-Of-Regressions Model with Measurement Errors in the Response
—
Xiaoqiong Fang, University of Kentucky ; Derek Young, University of Kentucky
9:15 AM
A SAS Macro to Create Summary Tables
—
Amy Gravely, VA Medical Center ; Barbara Clothier, CCDOR MVAHCS
9:20 AM
Sequential Computer Experiments for Failure Probability Estimation --- a Floor System Example
—
Hao Chen, University of British Columbia ; William James Welch, University of British Columbia
9:30 AM
A Network-based Algorithm for Clustering Multivariate Longitudinal Data
—
Matthew Koslovsky, KBRwyle ; Millennia Young, National Aeronautics and Space Administration ; Caroline Schaefer, MEI Technologies ; John Arellano, MEI Technologies ; Al Feiveson, National Aeronautics and Space Administration
9:35 AM
Floor Discussion
303
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-312
Big Data — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): James Gilman, NC State University
8:35 AM
What's in a Vector? Major Improvements on the Horizon for R and What They Mean for You
—
Gabriel Becker, Genentech Research ; Luke Tierney, University of Iowa
8:50 AM
A Divide-And-Conquer Approach for Survival Analysis in Big Data
—
Shou-En Lu, Rutgers Department of Biostatistics ; Jerry Q. Cheng, Rutgers Cardiovascular Institute of New Jersey ; Minge Xie, Rutgers University
9:05 AM
Big Health Data Using Probabilistic Record Linkage
—
Bong-Jin Choi, University of North Carolina at Chapel Hill ; Ke Meng, University of North Carolina at Chapel Hill ; Tzy-Mey Kuo, University of North Carolina at Chapel Hill ; Adrian Meyer, University of North Carolina at Chapel Hill ; Laura Green, University of North Carolina at Chapel Hill ; Christopher Baggett, University of North Carolina at Chapel Hill ; Anne-Marie Meyer, University of North Carolina at Chapel Hill ; YunKyung Chang, University of North Carolina at Chapel Hill
9:20 AM
Multi-Resolution Approximations of Gaussian Processes for Big Spatial Data
—
Wenlong Gong, Texas A&M University
9:50 AM
A Randomized Algorithm for Maximum Likelihood Estimation with Spatial Autoregressive Models
—
Miaoqi Li, University of Cincinnati ; Emily L. Kang, University of Cincinnati
10:05 AM
Sparse Group Fused Lasso in High Dimension
—
David Degras, University of Massachusetts Boston
326 *
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-343
The World of Statistical Analysis Professionals — Topic Contributed Papers
Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): Nancy Wang, Celerion
Chair(s): Nancy Wang, Celerion
10:35 AM
A Statistician's Role in the Utilization of REDCap (Research Electronic Data Capture) in an Academic Research Setting
—
Hannah Palac, AbbVie
10:55 AM
When Statistics and Housing Intersect: Role of Statistician in Housing Finance Agency
—
Kodjo Houssou, Minnesota Housing Finance Agency
11:15 AM
Tips for Working in Tech
—
Tim Hesterberg, Google
11:35 AM
Predictive Analytics in Industrial Asset Health Management
—
Wenyu Zhao, Schlumberger
11:55 AM
The Large Within- and Between-Agency Variance of Federal Statistical Careers
—
Michael Messner, U.S. Environmental Protection Agency
12:15 PM
Floor Discussion
351
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-Halls A&B
Contributed Poster Presentations: Section for Statistical Programmers and Analysts — Contributed Poster Presentations
Section for Statistical Programmers and Analysts
Chair(s): Jessi Cisewski, Yale University
14:
Conway-Maxwell-Poisson Process Implementation in R
—
Diag Davenport, Georgetown University ; Kimberly F Sellers, Georgetown University ; Darcy Morris, Center for Statistical Research & Methodology, U.S. Census Bureau ; Li Zhu, Georgetown University
15:
Administrative Algorithms for Pulmonary Arterial Hypertension
—
Winston Chan, UTMB - Galveston ; Ravikanth Papani, UTMB - Galveston
16:
Assessing the Impact of Multicollinearity in Various Regression Scenarios
—
Lisa Kay, Eastern Kentucky University ; Daniel J. Mundfrom, Eastern Kentucky University ; Michelle L. Smith, Eastern Kentucky University
359
Tue, 8/1/2017,
11:35 AM -
12:20 PM
CC-Halls A&B
SPEED: Computing, Graphics, and Programming Statistics — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistical Learning and Data Science
Chair(s): Jessi Cisewski, Yale University
1:
Where Does All the Time Go? Measuring Clients' Service Utilization via Time-Tracking Software
—
Dou-Yan Yang, University of Wisconsin--Madison ; Jeff Havlena, University of Wisconsin--Madison
2:
Persistence Terrace for Topological Inference of Point Cloud Data
—
Chul Moon, University of Georgia ; Noah Giansiracusa, Swarthmore College ; Nicole Lazar, University of Georgia
4:
Generalized Bi-Plots for Visualized Multidimensional Projections
—
James Fry, Virginia Tech ; Matt Slifko, Virginia Tech ; Scotland Leman, Virginia Tech
5:
Dynamic Network Community Discovery
—
Shiwen Shen ; Edsel Aldea Pena, University of South Carolina
6:
Maintaining Trial Integrity for Randomized Open-Label Trials
—
Wenyun Ji, Amgen, Inc.
7:
A Mixture-Of-Regressions Model with Measurement Errors in the Response
—
Xiaoqiong Fang, University of Kentucky ; Derek Young, University of Kentucky
8:
A SAS Macro to Create Summary Tables
—
Amy Gravely, VA Medical Center ; Barbara Clothier, CCDOR MVAHCS
9:
Sequential Computer Experiments for Failure Probability Estimation --- a Floor System Example
—
Hao Chen, University of British Columbia ; William James Welch, University of British Columbia
11:
A Network-based Algorithm for Clustering Multivariate Longitudinal Data
—
Matthew Koslovsky, KBRwyle ; Millennia Young, National Aeronautics and Space Administration ; Caroline Schaefer, MEI Technologies ; John Arellano, MEI Technologies ; Al Feiveson, National Aeronautics and Space Administration
The Speed portion will take place during Session 214531
375 * !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-349
Negative Results: They're Essential! — Invited Papers
Committee on Professional Ethics , Biopharmaceutical Section , Section on Teaching of Statistics in the Health Sciences , Section for Statistical Programmers and Analysts
Organizer(s): Rochelle E Tractenberg, Georgetown University
Chair(s): Michael Brewster Hawes, U.S. Department of Education
2:05 PM
Negative Findings in Environmental Epidemiology
—
Sidney Stanley Young, CGStat
2:35 PM
Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
—
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts ; Rochelle E Tractenberg, Georgetown University
3:05 PM
Peer Review and Publication of Negative Results: Encouraging Rigor, Reproducibility, and the Integrity of the Scientific Record
—
Rochelle E Tractenberg, Georgetown University
Discussant: John PA Ioannidis, Stanford University School of Medicine
3:35 PM
Floor Discussion
389 * !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-314
The Essential Power of Interactive Graphics — Invited Papers
Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): Gabriel Becker, Genentech Research
Chair(s): Gabriel Becker, Genentech Research
2:05 PM
Applications of Interactive Exploration of Large Multi-Panel Faceted Displays Using Trelliscope
—
Ryan Hafen, Purdue University
2:30 PM
Extracting Insights from Genomic Data via Complex Interactive Heatmaps
—
Alicia Schep, Stanford School of Medicine
2:55 PM
Visualizing the Changing Landscape of Software Developers
—
David Robinson, StackOverflowcom
3:20 PM
Discussant: Kenny Shirley, Amazon
3:45 PM
Floor Discussion
413 * !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-350
Consulting, Collaboration, Communication, and Impact — Contributed Papers
Section on Statistical Consulting , Section for Statistical Programmers and Analysts , Statistics Without Borders
Chair(s): Vaneeta Grover, GlaxoSmithKline
2:05 PM
Effective Collaboration Between Biostatisticians and Data Analysts in Developing Statistical Methods for Population Health Reports
—
Yahya Daoud, Baylor Scott & White Health ; Maria Funes, BSW Quality Alliance ; Matt Seale, BSW Quality Alliance ; Raymond Pacheco, BSW Quality Alliance
2:20 PM
The Collaborative Statistician as Project Manager: Strategizing for Success in a Changing Environment
—
Michele Shaffer, Seattle Children's Research Institute
2:35 PM
Taking the Pulse of Collaboration at Academic Medical Centers
—
Phillip Schulte, Mayo Clinic ; Felicity Enders, Mayo Clinic ; Jareen Meinzen-Derr, Cincinnati Children's Hospital Medical Center ; Susan Perkins, Indiana University ; Lori Lyn Price, Tufts University School of Medicine
2:50 PM
Coping with Scientists' Culture in Statistical Consulting or Collaboration: Problems and Solutions
—
Martin Levy, University of Cincinnati
3:05 PM
Ensuring Reproducibility of Collaborative Projects: Statisticians Taking the Lead
—
Rachel Jia, Icahn School of Medicine at Mount Sinai ; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai ; John Mandeli, Icahn School of Medicine at Mount Sinai ; Meng Ru, Icahn School of Medicine at Mount Sinai
3:20 PM
A New Look at Evidence Testing and Measures of Error
—
Robert Riffenburgh, Naval Medical Center
3:35 PM
Impact of Dependency on the Distribution of P-Value
—
Marie Ernst, University of Liege ; Yvik Swan, University of Liege
450 *
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-318
Challenges and Rewards of Major Career Changes for Collaborative Statisticians — Invited Panel
Section on Statistical Consulting , Committee on Career Development , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): Kim Love, K. R. Love Quantitative Consulting and Collaboration
Chair(s): Nathaniel Schenker, Retired
8:30 AM
Challenges and Rewards of Major Career Changes for Collaborative Statisticians
Panelists:
Kim Love, K. R. Love Quantitative Consulting and Collaboration
Lillian Lin, Montana State University
Christopher Holloman, Information Control Company
Bonnie Ghosh-Dastidar, The RAND Corporation
10:10 AM
Floor Discussion
475
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-347
Statistical Computing and Inference — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Nasrine Bendjilali, Rowan University
8:35 AM
Bootstrapping General ARIMA Models
—
Maher Qumsiyeh ; Dalton Gannon, University of Dayton
8:50 AM
Approximating Probability Distributions in an Extreme Renewal Process
—
Percy Brill, University of Windsor ; Mei Ling Huang, Brock University
9:05 AM
SUFFICIENT WEIGHTED BOOTSTRAPPING
—
Khairul Islam, Eastern Michigan University ; Sarjinder Singh, Texas A&M University-Kingsville
9:20 AM
Copula Importance Sampling
—
Douglas VanDerwerken, United States Naval Academy
9:35 AM
Simulation and Power Analysis of Generalized Linear Mixed Models
—
Brandon LeBeau, University of Iowa
9:50 AM
Inference for COM-Poisson Cure Rate Model with Interval Censored Data
—
Suvra Pal, University of Texas Arlington - Arlington, TX ; Narayanaswamy Balakrishnan, McMaster University
10:05 AM
Studying Crime Trends in the United States in the XXI Century
—
Xuwen Zhu, The University of Louisville ; Volodymyr Melnykov, The University of Alabama
483
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-350
Integration of Diverse Data Sets — Invited Papers
Section on Statistical Learning and Data Science , Section for Statistical Programmers and Analysts , Section on Statistics in Genomics and Genetics
Organizer(s): Michelle Schwalbe, National Academies, CATS
Chair(s): Michael J Daniels, University of Texas at Austin
10:35 AM
Statistical Data Integration Through Networks
—
Genevera I. Allen, Rice University
11:00 AM
Data Integration for Heterogenous Data Sets
—
Alfred Hero, III, University of Michigan
11:25 AM
Learning from Multiple Views of a Single Set of Observations
—
Daniela Witten, University of Washington
11:50 AM
Discussant: Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
12:10 PM
Floor Discussion
502 * !
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-318
Essential Skills for Communicating Statistics — Topic Contributed Panel
Royal Statistical Society , Section for Statistical Programmers and Analysts , Caucus for Women in Statistics , Statistics Without Borders , Conference on Statistical Practice Steering Committee
Organizer(s): Brian Tarran, Editor, Significance Magazine
Chair(s): Brian Tarran, Editor, Significance Magazine
10:35 AM
Essential Skills for Communicating Statistics
Panelists:
Neda Afsarmanesh, Sense About Science USA
Carl Bialik, Yelp
Emma Pierson, Stanford University
Liberty Vittert, University of Glasgow
Howard Wainer, Statistician and author
John Bailer, Miami University, and Stats+Stories podcast
12:10 PM
Floor Discussion
518
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-347
Software for Statistical Computing — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Yichi Zhang, Harvard University
10:35 AM
EyeTrVis: An R Package for the Extraction and Visualization of Eye Tracking Data from People Looking at Posters
—
Chunyang Li ; Jurgen Symanzik, Utah State University
10:50 AM
Eye-Tracking in Practice: A First Analysis of a Study on Human Postures
—
Jurgen Symanzik, Utah State University ; Chunyang Li ; Boyu Zhang, Utah State University ; Breanna Studenka, Utah State University ; Eric McKinney, Utah State University
11:05 AM
Likelihood-Ratio and $C(\Alpha)$ Tests for ODE Models
—
Yuping Yang, Simon Frase University ; Richard Lockhart, Simon Fraser University ; Jiguo Cao, Simon Frase University
11:20 AM
Turning the Tables on Probability Distributions
—
Stephen Mansour, University of Scranton
11:35 AM
Standardizing Assessment of Time-Series Forecasting Models
—
Nicholas G. Reich, University of Massachusetts Amherst ; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health ; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health ; Stephen Lauer, University of Massachusetts - Amherst ; Krzysztof Sakrejda, University of Massachusetts - Amherst ; Justin Lessler, Johns Hopkins Bloomberg School of Public Health
11:50 AM
RCAP Designer: Creating Analytical Dashboards on the RCloud Platform
—
Robert Archibald, Macrosoft Inc ; Ganesh Subramaniam, AT&T ; Simon Urbanek, AT&T Labs Research
12:05 PM
In with the New: a Shiny App for Exploring Summary Data Tables from the Medical Expenditure Panel Survey
—
Emily Mitchell, Agency for Healthcare Research and Quality
548 * !
Wed, 8/2/2017,
2:00 PM -
3:50 PM
CC-341
The Evolution and Future Direction of Statistical Computing and Visualization — Invited Papers
Section on Statistical Computing , Caucus for Women in Statistics , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Statistics Without Borders
Organizer(s): Nusrat Jahan, James Madison University
Chair(s): Jiayang Sun, Case Western Reserve University
2:05 PM
A girl geek's guide to new research on interactive data visualization for statistics with lots of data
—
Dianne Cook, Monash University
3:30 PM
Practical Data Analysis: An Algorithmic Approach
—
Leland Wilkinson, H2O.ai
2:55 PM
Discussant: Dalene K. Stangl, Duke University
3:15 PM
Floor Discussion
559 * !
Wed, 8/2/2017,
2:00 PM -
3:50 PM
CC-340
CDISC Standards Usage and the Role of Biostatisticians and Programmers — Invited Papers
Section for Statistical Programmers and Analysts , Biopharmaceutical Section
Organizer(s): William Coar, Axio Research
Chair(s): Kuolung Hu, Amgen
2:05 PM
Drug Development Planning and CDISC Standards from the Perspective of a Programmer/Analyst
—
Michael Carniello, Astellas Pharma
2:25 PM
Evaluation of the Programmers/Statisticians Role with CDISC - a CRO Perspective
—
William Coar, Axio Research
2:45 PM
CDISC Submissions and the Role of Statisticians
—
Chris Holland, Amgen
3:05 PM
CDISC Usage in Legacy Studies
—
Greg Valin, Amgen
3:25 PM
Discussant: Paul Schuette, FDA CDER
3:45 PM
Floor Discussion
587
Wed, 8/2/2017,
2:00 PM -
3:50 PM
CC-343
Recent Advances in Statistical Graphics — Contributed Papers
Section on Statistical Graphics , Section for Statistical Programmers and Analysts
Chair(s): Katie Campbell, Saint Joseph's University
2:05 PM
A Bayesian Approach to Visual Inference
—
Susan VanderPlas ; Heike Hofmann, Iowa State University ; Eric Hare, Iowa State University
2:20 PM
A Useful Scatterplot Matrix for Principal Component Analysis
—
Santiago Velilla, Universidad Carlos III
2:35 PM
Health Care Service Improvement After the Use of Tine Tag Video Information
—
Mahbubul Majumder, University of Nebraska at Omaha
2:50 PM
Dynamic Transelliptical Graphical Models for Sparse Precision Matrix Estimation
—
Tzu-Chun Wu, University of Cincinnati ; Emily L. Kang, University of Cincinnati
3:05 PM
Ggmapr - Tools for Working with and Visualizing Maps
—
Heike Hofmann, Iowa State University
3:20 PM
Using the Ggmosaic Package: Visualizing Opinions on Flying Etiquette
—
Haley Jeppson, Iowa State University
3:35 PM
Floor Discussion
599 * !
Thu, 8/3/2017,
8:30 AM -
10:20 AM
CC-323
Creating Interactive Graphics — Invited Papers
Section on Statistical Graphics , Section on Statistical Learning and Data Science , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): John Muschelli, Johns Hopkins University
Chair(s): Peter Hickey, Johns Hopkins University
8:35 AM
Interactive Data Visualization on the Web Using R
—
Carson Sievert, Carson Sievert
9:00 AM
Guiding Principles for Interactive Graphics Based on LIBD Data Science Projects
—
Leonardo Collado-Torres, Lieber Institute for Brain Development ; Bill Ulrich, Lieber Institute for Brain Development ; Stephen Semick, Lieber Institute for Brain Development ; Andrew E Jaffe, Lieber Institute for Brain Development
9:25 AM
Beyond Axes: Simulating Systems with Interactive Graphics
—
Sean Kross, Johns Hopkins University
9:50 AM
Discussant: John Muschelli, Johns Hopkins University
10:05 AM
Floor Discussion
646 *
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-317
Big Data with Bite-Sized Solutions — Topic Contributed Papers
Section for Statistical Programmers and Analysts , Biopharmaceutical Section , Section on Statistical Learning and Data Science , Conference on Statistical Practice Steering Committee
Organizer(s): Vipin Arora, Eli Lilly and Company
Chair(s): Ram Tiwari, FDA/CDER/OT/OB
10:35 AM
Big Data with Bite Size Solutions
—
Spencer Lourens, Indiana University
10:55 AM
Piecewise Solutions to Big Data
—
Anuradha Roy, The University of Texas at San Antonio ; Henry Chacon, The University of Texas at San Antonio
11:15 AM
Leveraging Machine Learning in the Analysis of Safety Data in Drug Research and Healthcare Informatics
—
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
11:35 AM
Uncovering What Is Inside the Data Using Effective Visualization
—
Vipin Arora, Eli Lilly and Company ; Xiang Zhang, Eli Lilly and Company
11:55 AM
Discussant: Judith D. Goldberg, New York Unversity School of Medicine
12:15 PM
Floor Discussion
657 * !
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-321
The Leadership Journey for Statisticians — Topic Contributed Panel
Section on Statistical Consulting , Section for Statistical Programmers and Analysts , Caucus for Women in Statistics , Conference on Statistical Practice Steering Committee
Organizer(s): Gary R Sullivan, Eli Lilly and Company
Chair(s): Gary R Sullivan, Eli Lilly and Company
10:35 AM
The Leadership Journey for Statisticians
Panelists:
Nancy Geller, National Institutes of Health
Stacy Lindborg, Biogen
F. Dubois Bowman, Columbia University
Robert N. Rodriguez, SAS Institute
12:10 PM
Floor Discussion
670
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-312
Statistical Computing in Data Science — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Wenhao Hu, North Carolina State University
10:35 AM
What Is the the Best and Safest for Me? Data Science Methods Applied to Medical Products and Treatments
—
Carolyn Carroll, Stat Tech, Inc.
10:50 AM
Automated Detection of Data Quality Anomalies in 3rd Party Administrative Data
—
Thomas George, Vidoori
11:05 AM
Statistical Calculations Through Rational Arithmetic and Conversions
—
Timothy Hall, PQI Consulting
11:20 AM
Florida Public Hurricane Model - Estimation of Extreme Losses
—
Florence George, Florida International University ; Sneh Gulati, Florida International University ; Shahid Hamid, Florida International University
11:35 AM
Trends and Volatility of Stock Prices Following Occurrence of Specific Technical Patterns
—
James Shine, US Army (retired) ; James Gentle, George Mason University ; Charles Perry, USDA retired
11:50 AM
Floor Discussion