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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
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: 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
 
 

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: 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
 
 

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
9:50 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
 
 
 
 
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