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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
Gemma Mojica, North Carolina State University
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
 
 

Register 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 StatisticsĀ 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 Statistical Literacy: Two Kinds of Prediction 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
 
 

Register 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
 
 

Register 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: Deb Nolan, UC Berkeley
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 Teaching Statistical Inference with a Focus on a Better Understanding of 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
 
 

Register 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: Teaching Statistical Inference with a Focus on a Better Understanding of 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
 
 

Register 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
 
 

Register 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
9:35 AM Copula Transformation and Exploration for Multivariate Modeling Manoj Bahuguna, Oakland University ; Ravindra Khattree, Oakland University
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
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
 
 
 
 
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