Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
26 !
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 116
Leading to Quantitative Literacy — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences , Committee on Professional Ethics, Committee on Applied Statisticians, Section on Statistical Education
Organizer(s): Rochelle Tractenberg, Georgetown University
Chair(s): Laila Poisson
2:05 PM
Training with the Mastery Rubric for Statistical Literacy to Promote Rigor and Reproducibility Across Scientific Disciplines: Making the Journal Club Educational
Rochelle Tractenberg, Georgetown University
2:25 PM
Knowledge Assessment of Statistics Educators in the Health Sciences
Presentation
Matthew Hayat, Georgia State University ; Michael Jiroutek, Campbell University; MyoungJin Kim, Illinois State University; Todd Schwartz, University of North Carolina at Chapel Hill
2:45 PM
Graphical and Quantitative Literacy: Empowerment Begins with Naming and Describing What We Do
Presentation
Susan Duke, FDA
3:05 PM
Increasing Statistical Literacy by Thinking Like a Journalist (And Maybe Even Working with One)
Regina Nuzzo, Gallaudet University
3:25 PM
Floor Discussion
74 *
Sun, 7/29/2018,
4:00 PM -
5:50 PM
CC-West 203
Challenges and Approaches to Teaching Statistics in the Health Sciences — Contributed Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education
Chair(s): Kendra Schmid , University of Nebraska Medical Center
4:05 PM
Helping New Healthcare Researchers to Consider Statistics Early
Presentation
Nicole Herrera, Children's National Medical Center ; Heather Gordish-Dressman, Children's National Medical Center; James Bost, Children's National Medical Center
4:20 PM
Mixing Active Learning and Lecturing: Using Interactive Visualization as a Teaching Tool
Presentation
Jessica Minnier, Oregon Health & Science University ; Ted Laderas, Oregon Health & Science University
4:35 PM
Effective Story Telling with Dynamic Data Visualizations
Ruth Hummel, SAS Institute, JMP Division ; Mia Stephens, SAS Istitute, JMP Division
4:50 PM
Overcoming Fears (My Own) Teaching Reproducible Research, Big Data and Data Mining in Nursing and Public Health Education
Presentation
Melinda Higgins, Emory University
5:05 PM
Statistical Significance: Time to Look Forward
Presentation
Philip Sedgwick, St. George's, University of London
5:20 PM
Floor Discussion
CE_15C
Mon, 7/30/2018,
8:00 AM -
12:00 PM
CC-East 2/3
Meta-Analysis for Biopharmaceutical and Public Health Research Using SAS (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biopharmaceutical Section, Section on Teaching of Statistics in the Health Sciences
Instructor(s): Michael LaValley, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health
Meta-analysis is the gold standard statistical approach to combine the results of multiple studies and to examine sources of heterogeneity and potential biases. This course will review fixed-effect and random-effects models, including the newly-recommended approaches, that underlie the combination of study results in meta-analysis; the use of study-level predictors in meta-regression; novel limit meta-analysis models to adjust for small-study effects and related reporting biases; and the synthesis of individual participant data. Throughout the course, participants will apply each model by using the SAS/STAT software and produce high-quality graphs, with original macros developed by the instructors. The target audience includes biostatisticians, data analysts, and quantitative researchers from academia, the pharmaceutical industry, the FDA and other government institutions with a basic knowledge of study design and regression modeling.
8:00 AM
Meta-Analysis for Biopharmaceutical and Public Health Research Using SAS (ADDED FEE)
Ludovic Trinquart, Boston University School of Public Health ; Michael LaValley, Boston University School of Public Health
103 * !
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-East 19
Educational Tools for Causal Inference in the Health Sciences — Invited Papers
Section on Teaching of Statistics in the Health Sciences , Statistics and Public Policy, Association of Health Services Research
Organizer(s): Douglas Landsittel, University of Pittsburgh
Chair(s): Sally C. Morton, Virginia Tech
8:35 AM
Causal Inference Guidelines for Pragmatic Trials
Miguel Hernan, Harvard School of Public Health
8:55 AM
A Decision Tool for Causal Inference and Observational Data Analysis Methods in Comparative Effectiveness Research (DECODE CER)
Presentation
Douglas Landsittel, University of Pittsburgh ; (Joyce) Chung-Chou H. Chang, University of Pittsburgh; Sally C. Morton, Virginia Tech
9:15 AM
CERBOT, a Web-Based Support Tool for the Emulation of a Target Trial Using Observational Data
Presentation
Yi Zhang, Medical Technology and Practice Patterns Institute ; Mae Thamer, Medical Technology and Practice Patterns Institute; Miguel Hernan, Harvard School of Public Health
9:35 AM
The Development of an Online Teaching Curriculum for PCORI's Methodology Standards
Presentation
Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health
9:55 AM
Discussant: Emily Evans, Patient-Centered Outcomes Research Institute (PCORI)
10:15 AM
Floor Discussion
117 * !
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 118
Four Decades of Statistical Consulting — Topic Contributed Panel
Section for Statistical Programmers and Analysts , Biopharmaceutical Section, Section on Statistical Consulting, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kent Koprowicz, Axio Research LLC
Chair(s): Vipin Arora, Eli Lilly and Company
8:35 AM
Four Decades of Statistical Consulting
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Panelists:
Kent Koprowicz, Axio Research LLC
Steve Kirby, Covance Inc.
Natasa Rajicic, Cytel Inc.
Lisa Weissfeld, Statistics Collaborative
10:10 AM
Floor Discussion
119
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 213
SPEED: Government and Health Policy — Contributed Speed
Health Policy Statistics Section , Government Statistics Section, Section on Statistical Learning and Data Science, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Mojca Bavdaz, University of Ljubljana
Poster Presentations
for this session.
8:35 AM
DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan ; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
8:40 AM
Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Presentation
Dennis Murphree
8:45 AM
Doing More with Less - Eliminating the Long Survey Forms from the Occupational Employment Statistics Survey
Presentation
Carrie K. Jones, US Bureau of Labor Statistics
9:00 AM
Statistically Supporting Health Policy Decision-Making
Presentation
Frank Yoon, IBM Watson Health
9:05 AM
Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Presentation
Derrick Yam, Brown University ; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
9:10 AM
Comparison of Methods for Predicting High-Cost Patients Captured Within the Oncology Care Model (OCM): a Simulation Study
Presentation 1
Presentation 2
Jung-Yi Lin, Icahn School of Medicine at Mount Sinai ; Wei Zhang, UALR; Mark Liu, Mount Sinai Health System; Mark Sanderson, Mount Sinai Health System; Luis Isola, Mount Sinai Health System; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Liangyuan Hu, Icahn School of Medicine at Mount Sinai
9:15 AM
Intervening on the Data to Improve the Performance of Health Plan Payment Methods
Presentation
Savannah Bergquist, Harvard University ; Tim Layton, Harvard Medical School; Tom McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
9:20 AM
Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Presentation
Gabriella Christine Silva, Brown University ; Roee Gutman, Brown University
9:30 AM
Can Post-Stratification Weighting Eliminate the Need for Additional Weights Adjustments?
Chrishelle Lawrence, U.S. Energy Information Administration
9:35 AM
Open Data Sharing and Its Statistical Limitations
Presentation
Pooja Iyer, RTI International ; Barbara Do, RTI International
9:40 AM
Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Presentation
Fei Han, The Hilltop Institute ; Ian Stockwell, The Hilltop Institute
9:45 AM
Comparison of Treatment Policies Using Bayesian Nonparametric G-Formula
Presentation
Yizhen Xu, Brown University ; Tao Liu, Brown University; Rami Kantor, Brown University; Joseph W Hogan, Brown University School of Public Health
9:50 AM
Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Presentation
Jonathan Gellar, Mathematica Policy Research ; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
9:55 AM
Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Presentation
Maricela Cruz, University of California, Irvine ; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
10:00 AM
Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Presentation
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences ; Laura Hatfield, Harvard Medical School
10:05 AM
New Applications of Machine Learning to Estimating Large Physician Demand Models
Presentation
Bryan Sayer, Social & Scientific Systems, Inc. ; William Encinosa, Agency for Health Care Quality and Research
10:10 AM
On Utilizing Published Prevalence Estimates to Perform Difference-In-Difference Tests: Testing the Impact of Recreational Marijuana Laws
Presentation
Christine Mauro, Columbia University ; Chen Chen, New York State Psychiatric Institute; Silvia Martins, Columbia University; Magda Cerdá, University of California, Davis; Melanie M. Wall, Columbia University
10:15 AM
Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign ; Annie Qu, University of Illinois at Urbana-Champaign
197
Mon, 7/30/2018,
10:30 AM -
11:15 AM
CC-West Hall B
SPEED: Government and Health Policy — Contributed Poster Presentations
Health Policy Statistics Section , Government Statistics Section, Section on Statistical Learning and Data Science, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan ; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
22:
Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
23:
Doing More with Less - Eliminating the Long Survey Forms from the Occupational Employment Statistics Survey
Carrie K. Jones, US Bureau of Labor Statistics
26:
Statistically Supporting Health Policy Decision-Making
Frank Yoon, IBM Watson Health
27:
Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University ; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
28:
Comparison of Methods for Predicting High-Cost Patients Captured Within the Oncology Care Model (OCM): a Simulation Study
Jung-Yi Lin, Icahn School of Medicine at Mount Sinai ; Wei Zhang, UALR; Mark Liu, Mount Sinai Health System; Mark Sanderson, Mount Sinai Health System; Luis Isola, Mount Sinai Health System; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Liangyuan Hu, Icahn School of Medicine at Mount Sinai
29:
Intervening on the Data to Improve the Performance of Health Plan Payment Methods
Savannah Bergquist, Harvard University ; Tim Layton, Harvard Medical School; Tom McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
30:
Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Gabriella Christine Silva, Brown University ; Roee Gutman, Brown University
31:
Can Post-Stratification Weighting Eliminate the Need for Additional Weights Adjustments?
Chrishelle Lawrence, U.S. Energy Information Administration
32:
Open Data Sharing and Its Statistical Limitations
Pooja Iyer, RTI International ; Barbara Do, RTI International
33:
Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Fei Han, The Hilltop Institute ; Ian Stockwell, The Hilltop Institute
34:
Comparison of Treatment Policies Using Bayesian Nonparametric G-Formula
Yizhen Xu, Brown University ; Tao Liu, Brown University; Rami Kantor, Brown University; Joseph W Hogan, Brown University School of Public Health
35:
Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research ; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
36:
Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine ; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
37:
Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences ; Laura Hatfield, Harvard Medical School
38:
New Applications of Machine Learning to Estimating Large Physician Demand Models
Bryan Sayer, Social & Scientific Systems, Inc. ; William Encinosa, Agency for Health Care Quality and Research
39:
On Utilizing Published Prevalence Estimates to Perform Difference-In-Difference Tests: Testing the Impact of Recreational Marijuana Laws
Christine Mauro, Columbia University ; Chen Chen, New York State Psychiatric Institute; Silvia Martins, Columbia University; Magda Cerdá, University of California, Davis; Melanie M. Wall, Columbia University
40:
Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign ; Annie Qu, University of Illinois at Urbana-Champaign
Oral Presentations
for this session.
295
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 217
Innovative Approaches to Teaching Biostatistics Partially or Fully Online — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Education
Organizer(s): Ann M Brearley, University of Minnesota
Chair(s): Laura J Le, University of Minnesota
8:35 AM
Adult Learners , a Flipped Classroom, and an Online Biostatistics Course: a Recipe for Disaster?
Presentation
Martina Mueller, Medical University of South Carolina ; Mary Dooley, Medical University of South Carolina
8:55 AM
Double Time: Integrating Online Learning Tools with a Flipped Classroom in a Public Health Statistics Course
Presentation
Brandon George, Thomas Jefferson University
9:15 AM
Active Learning Approaches for a Large Online Biostatistics Course
Rebecca Andridge, The Ohio State University College of Public Health
9:35 AM
Flipping Online: Creating an Active Learning Classroom in an Online Biostatistics Course
Presentation
Ann M Brearley, University of Minnesota ; Laura J Le, University of Minnesota
9:55 AM
Ideas for Creating and Teaching Online Biostatistics Courses for Those with Limited Resources
Presentation
Michael Jiroutek, Campbell University
10:15 AM
Floor Discussion
299
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 212
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Speed
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Teaching of Statistics in the Health Sciences
Chair(s): Jia Hua, State University of New York At Buffalo
Poster Presentations
for this session.
8:35 AM
Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute ; Ruth Pfeiffer , National Cancer Institute
8:40 AM
ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls
Audrey Hendricks, University of Colorado - Denver ; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
8:45 AM
NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky ; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
8:50 AM
Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Presentation
Tao Wang, UT Southwestern Medical Center
8:55 AM
Visualization Methods for RNA-Sequencing Data Analysis
Presentation
Lindsay Rutter, Iowa State University ; Dianne Cook, Monash University
9:00 AM
A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Presentation
Yi Yang, University of Minnesota ; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
9:05 AM
Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes
Prabhakar Chalise, University of Kansas Medical Center
9:10 AM
SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Presentation
Mo Huang, University of Pennsylvania ; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:15 AM
Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Presentation
Xiaoli Zhang, Ohio State University ; Kalpana Ghoshal, The Ohio State University
9:20 AM
An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control
Presentation
Dongmei Li, University of Rochester ; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
9:30 AM
A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Presentation
Jiyuan Hu, New York University School of Medicine ; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
9:35 AM
Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Presentation
Xiaotian Wu, Brown University ; Zhijin Wu, Brown University; Hao Wu, Emory University
9:50 AM
Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development
Jianying Zhang, Ohio State University ; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
9:55 AM
Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University ; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
10:00 AM
Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Presentation
Zhengyan Huang ; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
10:10 AM
Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute ; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
10:15 AM
Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals
Leying Guan, Stanford University
300
Tue, 7/31/2018,
8:30 AM -
10:20 PM
CC-West 209
SPEED: Statistical Epidemiology — Contributed Speed
Section on Statistics in Epidemiology , Section on Teaching of Statistics in the Health Sciences, Section on Medical Devices and Diagnostics
Chair(s): Jimmy Efird, University of Newcastle
Poster Presentations
for this session.
8:35 AM
Meta-Analysis of the Difference of Medians
Presentation
Sean McGrath, McGill University ; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre; Russell Steele, McGill University
8:40 AM
Model Validation of Time-To-Event Analyzes via the Concordance Statistic
Samantha-Jo Caetano, McMaster University
8:45 AM
A Comparative Longitudinal Study of the Distributions of Observed Versus Estimated Untreated Natural Blood Pressures
Presentation
Saryet Kucukemiroglu
8:50 AM
Meta-Analysis of Depression on the Risk of Fracture and Bone Loss in Prospective Cohort Studies
Presentation
Qing Wu, University of Nevada, Las Vegas ; Baowen Liu, University of Nevada, Las Vegas; Sajib Tonmoy, University of Nevada, Las Vegas
8:55 AM
Expected Versus Observed Effects on Conditional Probability for Clinical Trial Futility Assessment
Presentation
Zhibao Mi, VA CSPCC Perry Point ; Kelsey A.L. Alexovitz, VA Cooperative Studies Program Coordinating Center; Xiaoli Lu, VA Cooperative Studies Program Coordinating Center; Kousick Biswas, VA Cooperative Studies Program Coordinating Center; Joseph F Collins, VA Cooperative Studies Program Coordinating Center
9:00 AM
Logistic Regression with a Right-Skewed Exposure Variable Measured in Pools and Subject to Errors
Dane R Van Domelen, Rollins School of Public Health, Emory University ; Emily M Mitchell, Agency for Healthcare Research and Quality; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Neil Perkins, DIPHR/NICHD/NIH; Robert Lyles, Emory University
9:05 AM
Invalid Statistical Inference Due to Social Network Dependence
Presentation
Youjin Lee, Johns Hopkins School of Public Health ; Elizabeth Ogburn, Johns Hopkins School of Public Health
9:10 AM
Compatible Estimates for the Risk Ratio, Odds Ratio, and Risk Difference
Presentation
Charles Rose, CDC
9:15 AM
A Joint Model of Opioid Treatment Admissions and Deaths for Adults and Adolescents in Ohio Counties
Presentation
David Kline, Ohio State University ; Staci Hepler, Wake Forest University
9:20 AM
A Comparison of Some Propensity Score Methods
Presentation
Yuping Wu, Cleveland State University ; Amgad Mohammed Alajlan, Cleveland State University
9:30 AM
Comparison of Group Testing Algorithms for Clustered Data
Presentation
Ana Best, NIH NCI DCEG Biostatistics Branch ; Paul S Albert, National Cancer Institute; Yaakov Malinovsky, University of Maryland Baltimore County Dept. of Mathematics and Statistics
9:35 AM
Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Presentation
Hokeun Sun, Pusan National University
9:40 AM
Application of External Concordance Method
Wenliang Yao, Astrazeneca ; Pralay Mukhopadhyay, Astrazeneca
9:45 AM
Estimating Memory Decline Among Nondemented Older Adults
Presentation
Wenzhu Mowrey, Albert Einstein College of Medicine ; Ellen Grober, Albert Einstein College of Medicine; Molly E Zimmerman, Albert Einstein College of Medicine; Mindy J Katz, Albert Einstein College of Medicine; Charles B Hall, Albert Einstein College of Medicine; Martin J Sliwinski, Pennsylvania State University; Richard B Lipton, Albert Einstein College of Medicine
9:50 AM
A Probabilistic Linkage Approach for Combining VA and State Prescription Drug Databases for Evaluating Veterans' Receipt of Long-Term Opioid Therapy Across Multiple Systems
Larry Cook, University of Utah ; Tess A Gilbert, HSR&D Center to Improve Veteran Involvement in Care ; Kathleen F Carlson, HSR&D Center to Improve Veteran Involvement in Care
9:55 AM
Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center ; Colin B Begg, Memorial Sloan Kettering Cancer Center
328 *
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-East 10
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments — Invited Panel
Section on Statistical Consulting , ASA Caucus of Academic Representatives, Business Analytics/Statistics Education Interest Group, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Martin S. Levy, University of Cincinnati
Chair(s): Peng Wang, University of Cincinnati
10:35 AM
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Panelists:
Virginia Lesser, Oregon State University
Shane Reese, Brigham Young University
George P. McCabe, Purdue University
Dipak Kumar Dey, University of Connecticut
James Cochran, University of Alabama
12:10 PM
Floor Discussion
342
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 209
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Speed
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Bo Chen, University of Toronto
Poster Presentations
for this session.
10:35 AM
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Presentation
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
10:40 AM
Beach Volleyball Team Optimization
Presentation
Matthew Oehler, BYU
10:45 AM
Distributions of Time to First Spot Fire
Presentation
Trevor Thomson, Simon Fraser University
10:50 AM
Rao-Blackwellizing Field Goal Percentage in the NBA
Presentation
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
10:55 AM
Estimating Attendance at Non-Ticketed Non-Gated Events
Presentation
Carl Schwarz, Simon Fraser University
11:10 AM
Teaching Statistics Graduate Students the Importance of Reproducible Research
Presentation
Kristen McQuerry, University of Kentucky
11:15 AM
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
11:20 AM
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:30 AM
To Bet or Not to Bet - the Modified Kelly Criteria
Presentation
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
11:35 AM
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Presentation
Jason Wilson, Biola University
11:40 AM
An Application of Machine Learning for 3D IC Defect Detection
Presentation
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
11:50 AM
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
11:55 AM
Application of Email Spam Filtering Algorithms to SMS Data
Presentation
Yishu Xue, University Of Connecticut
12:00 PM
MLB Rule IV Draft: Valuing Draft Pick Slots
Presentation
Anthony Cacchione, City College of New York
12:05 PM
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Presentation
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
366
Tue, 7/31/2018,
10:30 AM -
11:15 AM
CC-West Hall B
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Poster Presentations
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Teaching of Statistics in the Health Sciences
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute ; Ruth Pfeiffer , National Cancer Institute
22:
ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls
Audrey Hendricks, University of Colorado - Denver ; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
23:
NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky ; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
24:
Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
25:
Visualization Methods for RNA-Sequencing Data Analysis
Lindsay Rutter, Iowa State University ; Dianne Cook, Monash University
26:
A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota ; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
27:
Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes
Prabhakar Chalise, University of Kansas Medical Center
28:
SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Mo Huang, University of Pennsylvania ; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
29:
Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University ; Kalpana Ghoshal, The Ohio State University
30:
An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control
Dongmei Li, University of Rochester ; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
31:
A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Jiyuan Hu, New York University School of Medicine ; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
32:
Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Xiaotian Wu, Brown University ; Zhijin Wu, Brown University; Hao Wu, Emory University
35:
Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development
Jianying Zhang, Ohio State University ; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
36:
Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University ; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
37:
Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang ; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
39:
Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute ; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
40:
Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals
Leying Guan, Stanford University
Oral Presentations
for this session.
367
Tue, 7/31/2018,
11:35 AM -
12:20 PM
CC-West Hall B
SPEED: Statistical Epidemiology — Contributed Poster Presentations
Section on Statistics in Epidemiology , Section on Teaching of Statistics in the Health Sciences, Section on Medical Devices and Diagnostics
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Meta-Analysis of the Difference of Medians
Sean McGrath, McGill University ; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre; Russell Steele, McGill University
2:
Model Validation of Time-To-Event Analyzes via the Concordance Statistic
Samantha-Jo Caetano, McMaster University
3:
A Comparative Longitudinal Study of the Distributions of Observed Versus Estimated Untreated Natural Blood Pressures
Saryet Kucukemiroglu
4:
Meta-Analysis of Depression on the Risk of Fracture and Bone Loss in Prospective Cohort Studies
Qing Wu, University of Nevada, Las Vegas ; Baowen Liu, University of Nevada, Las Vegas; Sajib Tonmoy, University of Nevada, Las Vegas
5:
Expected Versus Observed Effects on Conditional Probability for Clinical Trial Futility Assessment
Zhibao Mi, VA CSPCC Perry Point ; Kelsey A.L. Alexovitz, VA Cooperative Studies Program Coordinating Center; Xiaoli Lu, VA Cooperative Studies Program Coordinating Center; Kousick Biswas, VA Cooperative Studies Program Coordinating Center; Joseph F Collins, VA Cooperative Studies Program Coordinating Center
6:
Logistic Regression with a Right-Skewed Exposure Variable Measured in Pools and Subject to Errors
Dane R Van Domelen, Rollins School of Public Health, Emory University ; Emily M Mitchell, Agency for Healthcare Research and Quality; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Neil Perkins, DIPHR/NICHD/NIH; Robert Lyles, Emory University
7:
Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health ; Elizabeth Ogburn, Johns Hopkins School of Public Health
8:
Compatible Estimates for the Risk Ratio, Odds Ratio, and Risk Difference
Charles Rose, CDC
9:
A Joint Model of Opioid Treatment Admissions and Deaths for Adults and Adolescents in Ohio Counties
David Kline, Ohio State University ; Staci Hepler, Wake Forest University
10:
A Comparison of Some Propensity Score Methods
Yuping Wu, Cleveland State University ; Amgad Mohammed Alajlan, Cleveland State University
11:
Comparison of Group Testing Algorithms for Clustered Data
Ana Best, NIH NCI DCEG Biostatistics Branch ; Paul S Albert, National Cancer Institute; Yaakov Malinovsky, University of Maryland Baltimore County Dept. of Mathematics and Statistics
12:
Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
13:
Application of External Concordance Method
Wenliang Yao, Astrazeneca ; Pralay Mukhopadhyay, Astrazeneca
14:
Estimating Memory Decline Among Nondemented Older Adults
Wenzhu Mowrey, Albert Einstein College of Medicine ; Ellen Grober, Albert Einstein College of Medicine; Molly E Zimmerman, Albert Einstein College of Medicine; Mindy J Katz, Albert Einstein College of Medicine; Charles B Hall, Albert Einstein College of Medicine; Martin J Sliwinski, Pennsylvania State University; Richard B Lipton, Albert Einstein College of Medicine
15:
A Probabilistic Linkage Approach for Combining VA and State Prescription Drug Databases for Evaluating Veterans' Receipt of Long-Term Opioid Therapy Across Multiple Systems
Larry Cook, University of Utah ; Tess A Gilbert, HSR&D Center to Improve Veteran Involvement in Care ; Kathleen F Carlson, HSR&D Center to Improve Veteran Involvement in Care
16:
Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center ; Colin B Begg, Memorial Sloan Kettering Cancer Center
Oral Presentations
for this session.
404 *
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM
Effectively Explaining Statistical Concepts to Researchers from Other Fields
Presentation 1
Presentation 2
Presentation 3
Panelists:
Natalie Blades, Brigham Young University
Beth Chance, Cal Poly - San Luis Obispo
Paul Roback, St Olaf College
Heather Smith, Cal Poly
Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM
Floor Discussion
435
Tue, 7/31/2018,
3:05 PM -
3:50 PM
CC-West Hall B
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Poster Presentations
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
2:
Beach Volleyball Team Optimization
Matthew Oehler, BYU
3:
Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
4:
Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
5:
Estimating Attendance at Non-Ticketed Non-Gated Events
Carl Schwarz, Simon Fraser University
8:
Teaching Statistics Graduate Students the Importance of Reproducible Research
Kristen McQuerry, University of Kentucky
9:
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
10:
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:
To Bet or Not to Bet - the Modified Kelly Criteria
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
12:
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Jason Wilson, Biola University
13:
An Application of Machine Learning for 3D IC Defect Detection
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
15:
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
16:
Application of Email Spam Filtering Algorithms to SMS Data
Yishu Xue, University Of Connecticut
17:
MLB Rule IV Draft: Valuing Draft Pick Slots
Anthony Cacchione, City College of New York
18:
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
Oral Presentations
for this session.
471 *
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM
Effective Pedagogy in Large-Enrollment Statistics Courses
Presentation
Matthew D Beckman, Pennsylvania State University
8:55 AM
Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
9:15 AM
Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley ; Ani Adhikari, University of California, Berkeley
9:35 AM
Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class
Catherine Case
9:55 AM
Discussant: Chris Wild, University of Auckland
10:15 AM
Floor Discussion
496 * !
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 215/216
Building a Computing Age #StatisticsCurriculum for Biomedical Scientists — Invited Papers
Section on Teaching of Statistics in the Health Sciences , Section on Statistical Learning and Data Science, Section on Statistical Education
Organizer(s): Sujata M Patil, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM
A Guide to Teaching Data Science
Presentation
Rafael Irizarry, Harvard University
10:55 AM
Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Presentation
Sujata M Patil, Memorial Sloan Kettering Cancer Center ; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
11:15 AM
Experiences with Teaching Genomic Data Science Online
Kasper Daniel Hansen, Johns Hopkins University
11:35 AM
Teaching Statistics to Basic Scientists: #KnowYourAudience
Presentation
Stacey J Winham, Division of Biomedical Statistics and Informatics, Mayo Clinic ; Natasa Milic, University of Belgrade; Tracey L Weissgerber, Division of Nephrology and Hypertension, Mayo Clinic
11:55 AM
Discussant: Naomi S Altman, Pennsylvania State University
12:15 PM
Floor Discussion
558 !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM
Teaching Probability via Stories and Mistakes
Presentation
Joseph Blitzstein, Harvard University
2:25 PM
A Simulation-Based Approach to Teaching Probability Using the Symbulate Package
Presentation
Kevin J Ross, Cal Poly ; Dennis L Sun, Cal Poly and Google
2:45 PM
Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
3:05 PM
Using Texas Hold 'Em Examples to Teach Probability
Presentation
Frederic Paik Schoenberg, UCLA
3:25 PM
Discussant: Amy Wagaman, Amherst College
3:45 PM
Floor Discussion
560 * !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting , Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM
Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator
Richard De Veaux, Williams College
2:25 PM
Data for Good: Staying Sharp While Giving Back
David Corliss, Peace-Work
2:45 PM
An Old Dog Self-Teaching New Tricks
Presentation
Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM
Project Redux: If I Knew Then What I Know Now
Presentation
Mary J Kwasny, Northwestern University
3:25 PM
Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM
Floor Discussion
610 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 118
Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice — Invited Panel
Section on Statistical Graphics , Section on Teaching of Statistics in the Health Sciences, Section on Statistical Consulting, Section for Statistical Programmers and Analysts, SSC
Organizer(s): Joseph Rigdon, Stanford University
Chair(s): Summer Han, Stanford University
8:35 AM
Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice
Presentation 1
Presentation 2
Presentation 3
Panelists:
Manisha Desai, Stanford University
Christopher Lindsell, Vanderbilt University
Phillip Schulte, Mayo Clinic
Susan Halabi, Duke University
Leah Welty, Northwestern University
Mi-Ok Kim, University of California San Francisco
10:10 AM
Floor Discussion
623 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-East 10
Educating the Government Workforce to Lead with Statistics — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences , Government Statistics Section
Organizer(s): Janice Lent, U.S. Energy Information Administration
Chair(s): Frauke Kreuter, Joint Program in Survey Methodology
8:35 AM
Educating the Government Workforce to Lead with Statistics
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Presentation 5
Presentation 6
Panelists:
David Kinyon, Dept. of Energy
Andrew White, National Center for Education Statistics
Jeffrey Gonzalez, Bureau of Labor Statistics
Barbara Rater, National Agricultural Statistics Service
Susan Fortier, Statistics Canada
Katherine J Thompson, U.S. Census Bureau
10:10 AM
Floor Discussion