JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Activity Details

12 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-Ballroom I
Bridging BFF (Bayesian/Fiducial/Frequentist) Inference in the Era of Data Science — Invited Papers
IMS , Section on Bayesian Statistical Science , Section on Statistical Consulting
Organizer(s): Dongchu Sun, University of Missouri
Chair(s): Dongchu Sun, University of Missouri
2:05 PM	BFF Inferences with Rs: Replications, Relevance and Robustness — Xiao-Li Meng, Harvard University ; Keli Liu, Stanford University
2:30 PM	The Use of Rejection Odds and Rejection Ratios in Testing Hypotheses — James Berger, Duke University ; Daniel Benjamin, University of Southern California ; Thomas Sellke, Purdue University
2:55 PM	New Perspectives of P-Value and C-Factor for Hypothesis Testing — Regina Y Liu, RUTGERS UNIVERSITY ; Sifan Y Liu, RUTGERS UNIVERSITY ; MINGE Y XIE, RUTGERS UNIVERSITY
3:20 PM	Floor Discussion

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

88	Mon, 7/31/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
Section on Statistical Consulting A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University
ML05:	How to Grow a Successful Statistical Consulting Enterprise — James L Rosenberger, The Pennsylvania State University

110 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-311
What Should an Academic Consulting Statistician Do? — Topic Contributed Papers
Section on Statistical Consulting , Section for Statistical Programmers and Analysts
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): William C Bridges, Clemson University
8:35 AM	The Academic Applied Statistician - Transitioning Domain-Specific Data into Statistics Research — John Stevens, Utah State University
8:55 AM	The Role of Centers in Training the Next Generation of Academic Statistical Consultants — Kathryn Hanford, University of Nebraska
9:15 AM	The Spectrum of Consulting in Academia — Emily Griffith, NC State University
9:35 AM	What Metrics Can Be Used to Measure Success of Centers? — Bruce Craig, Purdue University
9:55 AM	Floor Discussion

194	Mon, 7/31/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
Section on Statistical Consulting P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University
ML22:	Structures of Successful Stat Labs — Eric Vance, LISA-University of Colorado Boulder

211 *	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-326
A Consulting Dish Cooked Three Ways: Contrasting Approaches for Dealing with Internal, External, and Academic Consulting Clients — Invited Papers
Section on Statistical Consulting , Statistics Without Borders , Conference on Statistical Practice Steering Committee
Organizer(s): Andrew Vesper, Deloitte Consulting
Chair(s): Andrew Vesper, Deloitte Consulting
2:05 PM	A Consulting Dish Cooked Three Ways: Contrasting Approaches for Dealing with Internal, External, and Academic Consulting Clients — Nikola Andric, Deloitte Consulting LLP
2:35 PM	Consulting Dish Cooked Three Different Ways: The Recipe and Execution of the Dish from the Side of Academics — Nairanjana Dasgupta, Washington State University
3:05 PM	The Recipe and Execution of the Dish from the Side of Internal Statistical Consultant — Todd Sanger, Eli Lilly and Company
3:35 PM	Floor Discussion

215 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-321
What Role Should Statistics and Statisticians Play in Environmental Policy and Regulation? — Invited Panel
Section on Statistics and the Environment , Section on Statistical Consulting , Government Statistics Section , Statistics Without Borders
Organizer(s): Megan Higgs, Neptune and Company, Inc.
Chair(s): Megan Higgs, Neptune and Company, Inc.
2:05 PM	What Role Should Statistics and Statisticians Play in Environmental Policy and Regulation?
Panelists:	Lara P. Phelps, U.S. Environmental Protection Agency, Office of the Science Advisor James V. Zidek, Department of Statistics, University of British Columbia Paul Black, Neptune & Company, Inc. Steven P. Millard, Probability, Statistics, & Information Kirk Cameron, MacStat Consulting, Ltd. Veronica J Berrocal, University of Michigan
3:40 PM	Floor Discussion

258	Tue, 8/1/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
Section on Statistical Consulting A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University
TL03:	Consulting, Collaboration, or Something Else? Perspectives — Michiko Wolcott, Msight Analytics

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

CE_26C	Tue, 8/1/2017, 8:30 AM - 5:00 PM	H-Key Ballroom 11
Research and Analysis Workflows: Low-Cost, Every-Day Project Management Techniques, Tools, and Tips That Produce High-Quality, Streamlined, Stress-Free Research and Data Science (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Statistical Consulting , Survey Research Methods Section
Instructor(s): Matt Jans, Abt Associates, Abhijit Gupta, ARAASTAT
8:30 AM	Research and Analysis Workflows: Low-Cost, Every-Day Project Management Techniques, Tools, and Tips That Produce High-Quality, Streamlined, Stress-Free Research and Data Science (ADDED FEE) — Matt Jans, Abt Associates ; Abhijit Gupta, ARAASTAT

350	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-Halls A&B
Contributed Poster Presentations: Section on Statistical Consulting — Contributed Poster Presentations
Section on Statistical Consulting
Chair(s): Jessi Cisewski, Yale University
13:	Meta-Analysis of Conflicting Outcome Measures — Sitaram Vangala, UCLA Health System

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

368	Tue, 8/1/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
Section on Statistical Consulting P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University
TL20:	Meetings: Turning Stumbling Blocks into Stepping Stones — Douglas Zahn, Zahn & Associates

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

214731	Tue, 8/1/2017, 5:30 PM - 6:30 PM	H-Key Ballroom 4
Section on Statistical Consulting Business Meeting — Other Cmte/Business
Section on Statistical Consulting
Chair(s): Charles Kincaid, Experis

214730	Tue, 8/1/2017, 6:30 PM - 8:30 PM	H-Key Ballroom 7
Joint Section Mixer - SPES, Q&P, Statistical Consulting, Statistics in Defense and National Security — Other Cmte/Business
Section on Physical and Engineering Sciences , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistics in Defense and National Security
Chair(s): Laura Freeman, IDA, Charles Kincaid, Experis, Ming Li, Amazon and TAMU - Commerce, James Wendelberger, Los Alamos National Laboratory and University of New Mexico

432	Wed, 8/2/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
Section on Statistical Consulting A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University
WL04:	A Statistician's Guide to Data Storytelling in Business — Christopher Holloman, Information Control Company

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

495 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-324
Collaborative Research on Measures of Health Disparities — Topic Contributed Papers
Section on Statistical Consulting
Organizer(s): George Luta, Georgetown University
Chair(s): Stuart Gansky, University of California San Francisco
10:35 AM	Using the Health Disparities Calculator (HDCalc) to Measure and Graph Health Disparities Over Time — Nancy Breen, NIMHD*
10:55 AM	Coverage properties of 95% confidence intervals for commonly used measures of health disparity implemented in HDCalc — Jaeil Ahn* ; George Luta, Georgetown University ; Benmei Liu, National Cancer Institute ; Eric Feuer, National Cancer Institute ; Mandi Yu, National Cancer Institute ; Sam Harper, McGill University
11:15 AM	Statistical Inference of the Relative Concentration Index Using Grouped Data from Complex Surveys — Mandi Yu, National Cancer Institute ; Meng Qiu, University of Maryland ; Yan Li, University of Maryland
11:35 AM	On the Use of Approximate Fiducial Quantities to Construct Confidence Intervals for Measures of Health Disparities — Tengfei Li, Georgetown University ; George Luta, Georgetown University
11:55 AM	Multidimensional Indices of Health Disparities Among Adults Aged 45-64 in the 20 Most Populous States in the United States: Results from the National Health Interview Survey — Makram Talih, National Center for Health Statistics ; Maria A Villarroel, National Center for Health Statistics
12:15 PM	Floor Discussion

542	Wed, 8/2/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
CANCELLED: Section on Statistical Consulting P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Consulting
Organizer(s): Xiaoyue Niu, Penn State University

602 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-321
Bridging the Gap Between Statistics and Other Data Sciences: Where's the Bridge? Where's the Gap? — Invited Panel
Section on Statistical Consulting , Section on Statistical Learning and Data Science , Section on Statistical Computing , Statistics Without Borders , Conference on Statistical Practice Steering Committee , Statistics in Business Schools Interest Group
Organizer(s): Jason Brinkley, American Institutes for Research
Chair(s): Jason Brinkley, American Institutes for Research
8:35 AM	Bridging the Gap Between Statistics and Other Data Sciences: Where's the Bridge? Where's the Gap?
Panelists:	Edward Boone, Virginia Commonwealth University Randy Bartlett, Blue Sigma Analytics Mark Lancaster, Northern Kentucky University Andrew Ekstrom, University of Michigan - Dearborn Fred Hulting, General Mills
10:10 AM	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

JSM 2017 Online Program

Activity Details

ASA Meetings Department

Share