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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
 
 

42
Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-348
A Cornecopia of Statistics — Contributed Papers
General Methodology , Section on Statistics in Defense and National Security , ENAR , WNAR , Section on Teaching of Statistics in the Health Sciences , Section on Physical and Engineering Sciences , Biometrics Section
Chair(s): Minge Xie, Rutgers University
2:05 PM Time Series Disaggregation for Simulation of Spare Parts Inventory Management Thomas Willemain, Rensselaer Polytechnic Institute ; Adam George Petrie, University of Tennessee
2:20 PM Variance Estimation for the Sample Mean of Dependent Data Stream Lei Jin, Texas A&M University -Corpus Christi
2:35 PM Clustering Adult Cystic Fibrosis and Chronic Obstructive Pulmonary Disease Patients Based on Lung Function Dynamics Barbara Bailey, San Diego State University
2:50 PM Computation of Ancestry Scores with Mixed Families and Unrelated Individuals Fred Wright, North Carolina State University ; Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
3:05 PM Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice Mark P Little, National Cancer Institute ; Pavel Chernyavskiy, National Cancer Institute ; Elijah Edmondson, Frederick National Laboratory for Cancer Research ; Michael Weil, Colorado State University
3:35 PM Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function Sucharita Ghosh, Swiss Federal Research Institute WSL
 
 

214719
Mon, 7/31/2017, 7:00 AM - 8:30 AM CC-333
Section on Teaching of Statistics in the Health Sciences Business Meeting — Other Cmte/Business
Section on Teaching of Statistics in the Health Sciences
Chair(s): Jose-Miguel Yamal, University of Texas Health Science Center School of Public Health
 
 

180
Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: Section on Teaching of Statistics in the Health Sciences — Contributed Poster Presentations
Section on Teaching of Statistics in the Health Sciences
Chair(s): Jessi Cisewski, Yale University
45: Monte Carlo Simulation for Longitudinal Studies with Co-Primary Endpoints Simcha Pollack
46: Parametric and Nonparametric Approaches for Tumor Growth Data Bingsong Zhang, Georgetown University ; Valeriy Korostyshevskiy, Georgetown University
47: Essential Role of Statistics in Publishing Medical Research Papers Daniel Byrne, Vanderbilt University ; Henry J Domenico, Vanderbilt ; Li Wang, Vanderbilt
 
 

Register 198
Mon, 7/31/2017, 12:30 PM - 1:50 PM CC-Ballroom II
CANCELLED: Section on Teaching of Statistics in the Health Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kendra Schmid, University of Nebraska Medical Center
 
 

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
 
 

239
Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-342
Section on Teaching Statistics in the Health Sciences CPapers 1 — Contributed Papers
Section on Teaching of Statistics in the Health Sciences
Chair(s): Todd Schwartz, University of North Carolina at Chapel Hill
2:05 PM Providing Consulting Experiences Through Role Playing in a Graduate Statistics Course Roy T Sabo, Virginia Commonwealth University
2:20 PM Assessment of Health Sciences Faculty Statistics Knowledge Across the Nursing, Medicine, Pharmacy, and Public Health Disciplines MyoungJin Kim, Illinois State University ; Matt Hayat, Georgia State University ; Michael Jiroutek, Campbell University College of Pharmacy & Health Sciences ; Todd Schwartz, University of North Carolina at Chapel Hill
2:35 PM Teaching Statistical Thinking for Healthcare Online April Kerby
2:50 PM Using a 'Flipped Classroom' Approach to Teach Applied Statistics to Nutrition and Biotechnology Students Using Blackboard Learn (TM) and R John Dawson, Texas Tech University
3:05 PM Pacing Through History: Vignettes to Inform, Refresh and Motivate Deborah Dawson, University of Iowa
3:20 PM Redesigning Introduction to Biostatistics Kari Lock Morgan, Penn State University
3:35 PM StatTag: a New Tool for Conducting Reproducible Research in Clinical and Translational Science Leah Welty, Northwestern Univ Feinberg School of Medicine
 
 

214800
Mon, 7/31/2017, 6:00 PM - 8:00 PM H-Carroll A
Section on Teaching of Statistics in the Health Sciences Business Meeting and Mixer — Other Cmte/Business
Section on Teaching of Statistics in the Health Sciences
Chair(s): Jose-Miguel Yamal, University of Texas Health Science Center School of Public Health
 
 

Register 262
Tue, 8/1/2017, 7:00 AM - 8:15 AM CC-Ballroom II
Section on Teaching of Statistics in the Health Sciences A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kendra Schmid, University of Nebraska Medical Center
TL07: Role of Replication Research in Statistics Graduate Education Lynette Smith, University of Nebraska Medical Center ; Jiangtao Luo, University of Nebraska Medical Center ; Fang Yu, University of Nebraska Medical Center
 
 

290 * !
Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-318
Assessment: An Essential Component of Students' Learning and Educators' Understanding — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences
Organizer(s): Felicity Enders, Mayo Clinic
Chair(s): Emma Benn, Icahn School of Medicine at Mount Sinai Medical Center
8:35 AM Assessment: An Essential Component of Students' Learning and Educators' Understanding
Panelists: Felicity Enders, Mayo Clinic
Jennifer Daddysman, University of Kentucky
John McGready, Johns Hopkins School of Public Health
Marian Frazier, Gustavus Adolphus College
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
 
 

Register 372
Tue, 8/1/2017, 12:30 PM - 1:50 PM CC-Ballroom II
Section on Teaching of Statistics in the Health Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kendra Schmid, University of Nebraska Medical Center
TL26: Promoting Promotion for Statistical Educators Felicity Enders, Mayo Clinic
 
 

375 * !
Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-349
Negative Results: They're Essential! — Invited Papers
Committee on Professional Ethics , Biopharmaceutical Section , Section on Teaching of Statistics in the Health Sciences , Section for Statistical Programmers and Analysts
Organizer(s): Rochelle E Tractenberg, Georgetown University
Chair(s): Michael Brewster Hawes, U.S. Department of Education
2:05 PM Negative Findings in Environmental Epidemiology Sidney Stanley Young, CGStat
2:35 PM Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts ; Rochelle E Tractenberg, Georgetown University
3:05 PM Peer Review and Publication of Negative Results: Encouraging Rigor, Reproducibility, and the Integrity of the Scientific Record Rochelle E Tractenberg, Georgetown University
Discussant: John PA Ioannidis, Stanford University School of Medicine
3:35 PM Floor Discussion
 
 

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
 
 

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
 
 

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
 
 

576 * !
Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-324
Data Science by the Layperson: What Is Our Responsibility? — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences
Organizer(s): Laila Poisson, Henry Ford Health System
Chair(s): Laila Poisson, Henry Ford Health System
2:05 PM Data Science by the Layperson: What Is Our Responsibility?
Panelists: Christopher Lindsell, University of Cincinnati, College of Medicine
Jody Ciolino, Northwestern University Feinberg School of Medicine
Jonathan Gelfond, University of Texas Health Science Center San Antonio
Matthew Mayo, University of Kansas Medical Center
Nichole Carlson, University of Colorado Denver
3:40 PM Floor Discussion
 
 
 
 
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