JSM 2017 Online Program

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

Activity Details

25 !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-321
Teaching Biostatistics Online: A Discussion and Debate of Problems and Solutions — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education
Organizer(s): Rebecca Andridge, Ohio State University
Chair(s): Rebecca Andridge, Ohio State University
2:05 PM	Teaching Biostatistics Online: a Discussion and Debate of Problems and Solutions
Panelists:	Ann Brearley, University of Minnesota Jane Monaco, University of North Carolina School of Public Health Michael Jiroutek, Campbell University College of Pharmacy & Health Sciences Wei Vivian Zhuang, Creighton University
3:40 PM	Floor Discussion

27 !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-324
Design, Implementation, and Impact of Different Approaches to Professional Development for Teachers of Statistics — Topic Contributed Panel
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Hollylynne Lee, NC State University
Chair(s): Christine Franklin, American Statistical Association
2:05 PM	Design, Implementation, and Impact of Different Approaches to Professional Development for Teachers of Statistics
Panelists:	Hollylynne Lee, NC State University Katherine T. Halvorsen, Smith College Victoria Weber, Meredith College Asli Mutlu, North Carolina State University Michael A. Posner, Villanova University
3:40 PM	Floor Discussion

79	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-343
Education Topics for Specialized Audiences — Contributed Papers
Section on Statistical Education
Chair(s): Michael Fundator, National Academy of Sciences
4:05 PM	ASA REU Experiences at Winona State University — Christopher Malone, Winona State University ; Silas Bergen, Winona State University ; Brant Deppa, Winona State University
4:20 PM	Involving Statistics Students in Course Based Undergraduate Research Experiences (CUREs) — Jennifer Broatch, Arizona State University
4:35 PM	Understanding Persistence of Black Males in STEM — Raymond Mooring, Analysis Made Easy
4:50 PM	Developing a Two-Year College Data Science Certificate Program — Brian Kotz, Montgomery College
5:05 PM	Exploring the Relationship Between Students' Attitudes and Achievement in an Introductory Biostatistics Course — Kaitlin Dio, University of Rhode Island ; Natallia V Katenka, University of Rhode Island
5:20 PM	Examining the Effect of a Pedagogical Change in a High Failure Rate College Science Course in the Face of a Shift Demographic Student Body — Robin Donatello, CSU Chico
5:35 PM	Floor Discussion

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

214804	Mon, 7/31/2017, 7:00 AM - 8:30 AM	CC-335
Section on Statistical Education Officers Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Paul Roback, St. Olaf College

89	Mon, 7/31/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College
ML06:	Infusing Data Science into the Statistics Curriculum — Adam Loy, Lawrence University ; Laura Chihara, Carleton College ; Shonda Kuiper, Grinnell College

116 !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-318
The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships — Topic Contributed Panel
Section on Statistical Education , Section on Statistics in Sports , Statistics in Business Schools Interest Group
Organizer(s): Robert Carver, Stonehill College
Chair(s): Keith Ord, McDonough School of Business (MSB), Georgetown University
8:35 AM	The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships
Panelists:	Robert Carver, Stonehill College David Levine, Baruch College (CUNY) Mia Stephens, SAS Institute/ JMP Division Scott Toney, Daniels College of Business, Univ of Denver Billie Anderson, Ferris State University
10:10 AM	Floor Discussion

173	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-309
Novel Approaches to Pedogogy — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Dalene K. Stangl, Duke University
10:35 AM	Visualizing Mean, Mean Deviation and Standard Deviation of a Continuous Random Variable — Mamunur Rashid, Mathematics Dept. at DePauw University ; Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis
10:50 AM	Bayes for Beginners: No Need to Hesitate — Jeffrey Witmer, Oberlin College
11:05 AM	Implementing Active Learning in an Undergraduate Statistics Classroom — Elizabeth Jennings McGuffey, United States Naval Academy
11:20 AM	Enhancing Instruction: Preparing Graduate Teaching Assistants for Active Learning — Jennifer Green, Montana State University ; Elizabeth Arnold, Montana State University
11:35 AM	Insights from Interviews with Statistics Educators — Allan Rossman, Cal Poly - San Luis Obispo
11:50 AM	Assessment of Impact of Using Learning Assistants in an Introductory Statistics Course — Jeff Kollath, Oregon State University
12:05 PM	Teaching Logistic Regression Using Ordinary Least Squares in Excel — Milo Schield, Augsburg College

179	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-Halls A&B
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education
Chair(s): Jessi Cisewski, Yale University
36:	Data Science Tutorials — Shonda Kuiper, Grinnell College ; Laura Chihara, Carleton College ; Adam Loy, Lawrence University
37:	RGalleon.Com: a Resource for Non-Programmers to Learn R — William Lamberti, George Mason Univ
38:	Analysis of Student Learning, Comparing Traditional Vs Flipped Teaching in College Elementary Statistics — Dilrukshika Singhabahu, Slippery Rock University
39:	Initial Findings About Graduate Teaching Assistants' Training Needs to Foster Active Learning in Statistics — Kristen Roland ; Jennifer Kaplan, University of Georgia
40:	Using Residual Plots to Identify Model Misspecifications — Emily Nystrom, Clemson University ; Julia L Sharp, Colorado State University ; William C Bridges, Clemson University ; Patrick Gerard, Clemson University ; Colin Gallagher, Clemson University
41:	Leveraging Ensembles of Machine Learning Algorithms to Provide Real-Time Instructor Feedback — Alexander Lyford, UGA
42:	A Comparative Study of Student Understanding of Center and Variability in Graphical Displays — Amy Froelich, Iowa State University ; Jennifer Kaplan, University of Georgia ; Alexander Lyford, UGA ; Kathleen Rey, Iowa State University
43:	ASA REU Experience at Winona State University: Development of a Household Asset-Based Index for the Integrated Public Use Microdata Series International (IPUMS-I) Data — Eva Tourangeau, Lawrence University ; Megan Aadland, South Dakota State University ; Adrianna Kallis, Iowa State University ; Jennifer Halbleib, Amherst College ; Silas Bergen, Winona State University
44:	ASA REU Experience at Winona State University: Visualization of Integrated Public Use Microdata Series International (IPUMS-I) Data — Eva Tourangeau, Lawrence University ; Megan Aadland, South Dakota State University ; Adrianna Kallis, Iowa State University ; Jennifer Halbleib, Amherst College ; Silas Bergen, Winona State University

195	Mon, 7/31/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
CANCELLED: Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College

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

259	Tue, 8/1/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College
TL04:	Why Do Students Hate Statistics? — Michael DeDonno, Florida Atlantic University

266 * !	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-314
Novel Approaches to First Statistics / Data Science Course — Invited Papers
Section on Statistical Education , Section on Statistical Computing , Statistics in Business Schools Interest Group , Caucus for Women in Statistics
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Andrew Bray, Reed College
8:35 AM	Three Methods Approach to Statistical Inference — Benjamin Baumer, Smith College
8:55 AM	Lessons Learned in Transitioning from "Intro to Statistics" to "Reasoning with Data" — Rebecca Nugent, Carnegie Mellon Statistics
9:15 AM	A First-Year Undergraduate Data Science Course — Mine Cetinkaya-Rundel, Duke University
9:35 AM	Teaching Stats for Data Science — Daniel Kaplan, Macalester College
9:55 AM	Discussant: Dick DeVeaux, Williams College
10:15 AM	Floor Discussion

289 * !	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-321
The Sports Statistics Club: A Vital Tool for Engaging Students in Statistics — Topic Contributed Panel
Section on Statistics in Sports , Section on Statistical Education
Organizer(s): Karl Pazdernik, North Carolina State University
Chair(s): Stephanie Kovalchik, Tennis Australia
8:35 AM	The Sports Statistics Club: a Vital Tool for Engaging Students in Statistics
Panelists:	Karl Pazdernik, North Carolina State University Sam Ventura, Carnegie Mellon University Mark Glickman, Harvard University Shane Reese, Brigham Young University Michael Schuckers, St. Lawrence University
10:10 AM	Floor Discussion

334	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-325
SPEED: Statistical Education — Contributed Speed
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Learning and Data Science , Social Statistics Section
Chair(s): Gwendolyn Eadie, McMaster University
10:35 AM	Benefits of Using Real Data Sets to Instruct Business Students in Data Mining Techniques — Kathleen Garwood, Saint Joseph's University
10:40 AM	A prediction model for understanding statistical replication — Andrew Neath, SIU Edwardsville
10:45 AM	Triathlon Road Closure Control — Zonghuan (Jason) Li, Student ; Mason Chen, Mason Chen Consulting
10:50 AM	Using an Alternative Sequence for Teaching an Undergraduate Introductory Statistics — Phyllis Curtiss, Grand Valley State University ; Robert Pearson, Grand Valley State University
10:55 AM	Reflections and Faculty Feedback on an Alternative Sequence for Teaching an Undergraduate Introductory Statistics Course — Robert Pearson, Grand Valley State University ; Phyllis Curtiss, Grand Valley State University
11:00 AM	Statistics as a Basic Leadership Competency: Making the Case to Executives and Educators — Matthew Jones, Walden University
11:05 AM	Learning Statistics with Productive Practice and Technology — Brenda Gunderson, Univ of Michigan
11:10 AM	Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University — Reema Thakkar, RTI International ; Emily Griffith, NC State University ; Stephany Dunstan, N.C. State University
11:15 AM	First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years — John McKenzie, Babson College
11:20 AM	Developing Partnerships with an AP Statistics Practice Exam — Christy Brown, Clemson University ; Ellen Breazel, Clemson University ; Elizabeth Johnson, George Mason University ; Jonathan Duggins, NC State University ; Bryan Crissinger, University of Delaware
11:30 AM	Helping Under Prepared Students Succeed in Introductory Statistics — Paul Plummer, University of Central Missouri
11:35 AM	Using Video Presentations for Assessment in Introductory Statistics Courses — Melissa Pittard, University of Kentucky
11:40 AM	Longitudinal Modeling in Applied Research: Implications for Improving Practice — Niloofar Ramezani, University of Northern Colorado ; Kerry Duck, University of Northern Colorado ; Austin Brown, University of Northern Colorado ; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University ; Trent Lalonde, University of Northern Colorado
11:45 AM	P-Value as Strength of Evidence Measured by Confidence Distribution — Sifan Liu, Rutgers Univ Statistics Dept
11:50 AM	Definition and Confusion About Independence — Robert Molnar, Oklahoma State University
11:55 AM	If Only R Would Grade My Students' Projects — Robin Lock, St. Lawrence University
12:00 PM	Odds Ratio Versus Risk Ratio in Prevalence Trend Analysis — Scott McClintock, West Chester University ; Randall Rieger, West Chester University ; Zhen-qiang Ma, Pennsylvania Department of Health
12:05 PM	Using Data Mining to Identify At-Risk Freshmen — Nora Galambos, Stony Brook University
12:10 PM	Assessing the Effectiveness of Mentoring Youth — Laura Albrecht ; Keenan O'brien, Metropolitan State University of Denver ; Matthew Shaw, Metropolitan State University of Denver
12:15 PM	Floor Discussion

344	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-309
Technology in the Classroom — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Jack Follis, University of St Thomas
10:35 AM	Innovative Teaching Methods for Introductory Statistics Courses — Xiaohui Wang, University of Texas Rio Grande Valley
10:50 AM	Research Findings on Innovative Teaching Methods in Statistics Classes Using ALEKS — Cheng Li ; Xiaohui Wang, University of Texas Rio Grande Valley
11:05 AM	Improving Statistics Education Through Interactive Learning Tools — Philipp Burckhardt, Carnegie Mellon University ; Alexandra Chouldechova, Carnegie Mellon University
11:20 AM	A Collaboration with Four-Year Institution and Community College Faculty to Engage Students in Learning Statistics — Ginger Rowell, Middle Tennessee State University ; Lisa Green, Middle Tennessee State University ; Nancy McCormick, Middle Tennessee State University ; Scott McDaniel, Middle Tennessee State University ; Jeremy Strayer, Middle Tennessee State University ; Marilee Gorta, Columbia State Community College ; Lori Giles, Columbia State Community College ; James Smith, Columbia State Community College ; Michael Darrell, Columbia State Community College
11:35 AM	Evaluating Change in Learning from Different Forms of Interactive Visualizations with a Large Case Study. — Lata Kodali ; Peter Hauck , Virginia Tech, Discovery Analytics Center ; Michelle Dowling, Virginia Tech, Department of Computer Science ; Leanna House, Virginia Tech, Department of Statistics ; Scotland Leman, Virginia Tech ; Chris North, Virginia Tech, Department of Computer Science
11:50 AM	Current Use of Online and Flipped Pedagogy in Statistics and Biostatistics Courses — Todd Schwartz, University of North Carolina at Chapel Hill ; Jane Monaco, University of North Carolina School of Public Health
12:05 PM	Scrum for Students: Increasing Productivity and Mastery in Statistics with an Agile Process — Ellen Endriss, Career Center

369	Tue, 8/1/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College
TL21:	A Course in Business Analytics — David Levine, Baruch College (CUNY)
TL22:	GAISEing at a Lecture Hall: Effective Pedagogy in Large-Enrollment Courses — Matthew Beckman, Penn State University

397 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-313
Modernizing the Statistical Collaboration Course — Topic Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Amy S Nowacki, Cleveland Clinic
Chair(s): Ann Brearley, University of Minnesota
2:05 PM	Developing Collaborative Biostatisticians: Courses and Content for a Modern Program — Miranda Kroehl, Colorado School of Public Health ; Nichole Carlson, University of Colorado Denver ; Gary Grunwald, Colorado School of Public Health
2:25 PM	Teaching Statistical Collaboration Classes in Sequence — Dandan Liu, Vanderbilt University ; Mario Davidson, Vanderbilt University
2:45 PM	Statistical Collaboration: Experiential and Case Study Based Teaching Approaches — Trupti Trivedi, Drexel University/Adaptimmune LLC
3:05 PM	Videos for Simulating the Statistical Collaborative Experience — Amy S Nowacki, Cleveland Clinic
3:25 PM	Using Videos for Teaching and Assessing Collaborative Skills — Kristen McQuerry, University of Kentucky ; Amy S Nowacki, Cleveland Clinic
3:45 PM	Floor Discussion

424	Tue, 8/1/2017, 3:05 PM - 3:50 PM	CC-Halls A&B
SPEED: Statistical Education — Contributed Poster Presentations
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Learning and Data Science , Social Statistics Section
Chair(s): Jessi Cisewski, Yale University
1:	Benefits of Using Real Data Sets to Instruct Business Students in Data Mining Techniques — Kathleen Garwood, Saint Joseph's University
2:	A prediction model for understanding statistical replication — Andrew Neath, SIU Edwardsville
3:	Triathlon Road Closure Control — Zonghuan (Jason) Li, Student ; Mason Chen, Mason Chen Consulting
4:	Using an Alternative Sequence for Teaching an Undergraduate Introductory Statistics — Phyllis Curtiss, Grand Valley State University ; Robert Pearson, Grand Valley State University
5:	Reflections and Faculty Feedback on an Alternative Sequence for Teaching an Undergraduate Introductory Statistics Course — Robert Pearson, Grand Valley State University ; Phyllis Curtiss, Grand Valley State University
6:	Statistics as a Basic Leadership Competency: Making the Case to Executives and Educators — Matthew Jones, Walden University
7:	Learning Statistics with Productive Practice and Technology — Brenda Gunderson, Univ of Michigan
8:	Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University — Reema Thakkar, RTI International ; Emily Griffith, NC State University ; Stephany Dunstan, N.C. State University
9:	First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years — John McKenzie, Babson College
10:	Developing Partnerships with an AP Statistics Practice Exam — Christy Brown, Clemson University ; Ellen Breazel, Clemson University ; Elizabeth Johnson, George Mason University ; Jonathan Duggins, NC State University ; Bryan Crissinger, University of Delaware
11:	Helping Under Prepared Students Succeed in Introductory Statistics — Paul Plummer, University of Central Missouri
12:	Using Video Presentations for Assessment in Introductory Statistics Courses — Melissa Pittard, University of Kentucky
13:	Longitudinal Modeling in Applied Research: Implications for Improving Practice — Niloofar Ramezani, University of Northern Colorado ; Kerry Duck, University of Northern Colorado ; Austin Brown, University of Northern Colorado ; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University ; Trent Lalonde, University of Northern Colorado
14:	P-Value as Strength of Evidence Measured by Confidence Distribution — Sifan Liu, Rutgers Univ Statistics Dept
15:	Definition and Confusion About Independence — Robert Molnar, Oklahoma State University
16:	If Only R Would Grade My Students' Projects — Robin Lock, St. Lawrence University
17:	Odds Ratio Versus Risk Ratio in Prevalence Trend Analysis — Scott McClintock, West Chester University ; Randall Rieger, West Chester University ; Zhen-qiang Ma, Pennsylvania Department of Health
18:	Using Data Mining to Identify At-Risk Freshmen — Nora Galambos, Stony Brook University
19:	Assessing the Effectiveness of Mentoring Youth — Laura Albrecht ; Keenan O'brien, Metropolitan State University of Denver ; Matthew Shaw, Metropolitan State University of Denver
The Speed portion will take place during Session 214536

433	Wed, 8/2/2017, 7:00 AM - 8:15 AM	CC-Ballroom II
CANCELLED: Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College

440 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-342
Causal Inference as an Essential Part of the Foundation of Statistical Education — Invited Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education , Section on Statistics in Epidemiology
Organizer(s): Jessica Gerald Young, Harvard Medical School
Chair(s): Sudipta Bhattacharya, AstraZeneca
8:35 AM	Causal inference as an essential part of the foundation of statistical education: an introduction — Jessica Gerald Young, Harvard Medical School
9:05 AM	Causal Inference in a Big Data World - The Roadmap — Laura B Balzer, Harvard T.H. Chan School of Public Health
9:35 AM	Discussant: Miguel Hernan, Harvard TH Chan School of Public Health
10:05 AM	Floor Discussion

476	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-341
Teaching Introductory Statistics — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Suhwon Lee, University of Missouri
8:35 AM	Incorporating Open Portal Data into Courses in Statistics — Roberto Rivera, University of Puerto Rico Mayaguez ; Mario Marazzi, Puerto Rico Institute of Statistics ; Pedro Torres, University of Puerto Rico Mayaguez
8:50 AM	The Influence of Undergraduate Statistics and Statistics Anxiety on Graduate Statistics Success — Michael DeDonno, Florida Atlantic University
9:05 AM	Using Election Polls to Teach the Analysis of Trends — T. Ceesay, Merck & Co, Inc.
9:20 AM	Working Backwards: A New Approach to Teaching Introductory Statistics — Teresa Dalton, University of California, Irvine
9:35 AM	Introductory Statistics Students' Conceptual Understanding of Study Design and Conclusions — Elizabeth Fry, University of Minnesota
9:50 AM	Writing Assignments for Statistics — Brad Luen
10:05 AM	Students' Conceptions and Misconceptions in Judging Variability in Various Graph Types That Use Bars — Linda Cooper, Towson University

480 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-341
Modernizing the Undergraduate Statistics Curriculum — Invited Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Computing , Statistics in Business Schools Interest Group
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Mine Cetinkaya-Rundel, Duke University
10:35 AM	Modernizing the Undergraduate Statistics Curriculum — Nicholas J Horton, Amherst College
10:55 AM	Industry Expectations for Statistics Graduates — Hilary Parker, Stitch Fix
11:15 AM	Expectations and Skills for Undergraduate Students Doing Research in Statistics and Data Science — Jo Hardin, Pomona College
11:35 AM	Moving Away from Ad Hoc Statistical Computing Education — Colin Rundel, Duke University Statistical Science
11:55 AM	Discussant: Rob Gould, UCLA
12:15 PM	Floor Discussion

543	Wed, 8/2/2017, 12:30 PM - 1:50 PM	CC-Ballroom II
Section on Statistical Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Education
Organizer(s): Kelly McConville, Swarthmore College
WL22:	Discussing the Uses and Creation of R Shiny Applications — Justin Post, North Carolina State University

574 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-321
Being Research Active in Teaching-Focused Colleges — Topic Contributed Panel
Section on Statistical Education
Organizer(s): Ming-Wen An, Vassar College
Chair(s): Jo Hardin, Pomona College
2:05 PM	Being Research Active in Teaching-Focused Colleges
Panelists:	Ming-Wen An, Vassar College Paul Roback, St. Olaf College Amy Wagaman, Amherst College Steve Wang, Swarthmore College Gideon Zamba, University of Iowa
3:40 PM	Floor Discussion

575 !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-318
Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics — Topic Contributed Panel
Statistics in Business Schools Interest Group , Section on Statistical Education , Business and Economic Statistics Section
Organizer(s): Amy Phelps, Duquesne University
Chair(s): Robert Carver, Stonehill College
2:05 PM	Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics
Panelists:	Dick DeVeaux, Williams College Robert Stine, University of Pennsylvania Gareth James, University of Southern California James Cochran, University of Alabama Kellie Keeling, Daniels College of Business, University of Denver
3:40 PM	Floor Discussion

214803	Wed, 8/2/2017, 6:00 PM - 7:30 PM	H-Key Ballroom 10
Section on Statistical Education Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Paul Roback, St. Olaf College

629	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-326
Advanced Topics in Statistics Education — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Darcie Delzell, Wheaton College
8:35 AM	The Kumaraswamy Transmuted Pareto Distribution — Sher Chhetri, Florida Atlantic University ; Alfred Akinsete, Marshall University ; Gokarna Aryal, Purdue University Northwest ; Hongwei Long, Florida Atlantic University
8:50 AM	The Impact of Laplace's "A Philosophical Essay on Probabilities" on the Teaching of Probability — Ilhan Izmirli, George Mason University
9:05 AM	Maximum Likelihood Estimation of the Mode of a Continuous Distribution (Without Grouping) — John Paul DeLong
9:20 AM	Can Unbiased Estimators Be Absurd? — Ahern Nelson ; Christopher Campbell, Metropolitan State University of Denver ; Jonathan Grant, Metropolitan State University of Denver
9:50 AM	Time Series Methodologies May Save Lives on Highways — Roya Amjadi, Federal Highway Administration
10:05 AM	The Simulation-Based, Standardized Z-Statistic: When and Why it Works — Yew-Meng Koh, Hope College

654 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-327
Teaching Introductory Statistics Using Simulation-Based Inference Methods — Topic Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Whitney Alicia Zimmerman, The Pennsylvania State University
Chair(s): James L Rosenberger, The Pennsylvania State University
10:35 AM	Integrating Randomization Methods in the Introductory Statistics Course — Paul Velleman, Cornell University
10:55 AM	Pilot of a Simulation-Based Inference (SBI) Approach in an Online Undergraduate-Level Introductory Statistics Course — Whitney Alicia Zimmerman, The Pennsylvania State University ; Mengzhao Gao, The Pennsylvania State University ; Glenn Johnson, The Pennsylvania State University ; Daniel Adam Spencer, University of California, Santa Cruz ; Daisy Philtron, The Pennsylvania State University
11:15 AM	Teaching Students to Test Robustness via Simulation — Cassandra Pattanayak, Wellesley College
11:35 AM	Graduate Students Teaching Simulation-Based Inference — Laura Ziegler
11:55 AM	Pedagogical Considerations for Simulation-Based Inference in a Large-Enrollment Introductory Biostatistics Course — Matthew Beckman, Penn State University ; Kari Lock Morgan, Penn State University
12:15 PM	Floor Discussion

656	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-311
Introducing Bayesian Statistics at Courses of Various Levels — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Statistical Education
Organizer(s): Jingchen (Monika) Hu, Vassar College
Chair(s): Jared S Murray, Carnegie Mellon University
10:35 AM	Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Models — Yang Liu, University of Connecticut ; Xiaojing Wang, University of Connecticut
10:55 AM	Teaching Bayes: The Essential Parts — Rebecca C. Steorts, Duke University ; Brenda Betancourt, Duke University
11:15 AM	A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS — Jose Guardiola, Texas A&M University-CC ; Hassan Elsalloukh, University of Arkansas at Little Rock
11:35 AM	Discussant: Jingchen (Monika) Hu, Vassar College
11:55 AM	Discussant: Dalene K. Stangl, Duke University
12:15 PM	Floor Discussion

JSM 2017 Online Program

Activity Details

ASA Meetings Department

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