Name: 2018 ASA Conference on Statistical Practice
Start: 2018-02-15T07:00:00+00:00
End: 2018-02-17
Location: Marriott Portland Downtown Waterfront

Last Name:	Abstract Keyword:	Title:

Viewing Concurrent Sessions only — View Full Program

Friday, February 16
CS01 #LeadWithStatistics		Fri, Feb 16, 9:15 AM - 10:45 AM Salon A


Chair(s): Sejong Bae, Comprehensive Cancer Center, University of Alabama

9:20 AM	Q&A with Lisa LaVange Lisa LaVange, The University of North Carolina
10:05 AM	Developing and Delegating: Two Key Strategies to Master as a Technical Leader View Presentation Diahanna L. Post, Nielsen, Columbia University


CS02 Practical Considerations for Modeling		Fri, Feb 16, 9:15 AM - 10:45 AM Salons BC


Chair(s): Trijya Singh, Le Moyne College

9:20 AM	Evaluating Model Fit for Predictive Validity Katherine M. Wright, Northwestern University
10:05 AM	Flexible Modeling and Experimental Design Strategies Timothy E. O'Brien, Loyola University Chicago


CS03 Text Analytics Applications		Fri, Feb 16, 9:15 AM - 10:45 AM Salon D


Chair(s): Steven Cohen, RTI International

9:20 AM	Approachable, Interpretable Tools for Mining and Summarizing Large Text Corpora in R View Presentation Luke W. Miratrix, Harvard University
10:05 AM	Latent Dirichlet Allocation Topic Models Applied to the Center for Disease Control and Prevention’s Grant View Presentation Matthew Keith Eblen, Centers for Disease Control and Prevention


CS04 Working with Messy Data		Fri, Feb 16, 9:15 AM - 10:45 AM Salon E


Chair(s): Karol Krotki, RTI

9:20 AM	Practical Time-Series Clustering for Messy Data in R View Presentation Jonathan Robert Page, University of Hawaii Economic Research Organization (UHERO)
10:05 AM	Doing Data Linkage: A Behind-the-Scenes Look View Presentation Clinton J. Thompson, National Center for Health Statistics, CDC


CS05 Collaboration Essentials		Fri, Feb 16, 11:00 AM - 12:30 PM Salon A


Chair(s): Terrie Vasilopoulos, University of Florida, College of Medicine

11:05 AM	Asking Great Questions View Presentation Eric Vance, LISA--University of Colorado Boulder
11:50 AM	Listening, Paraphrasing, and Summarizing View Presentation Heather Smith, Cal Poly


CS06 Bayesian Applications		Fri, Feb 16, 11:00 AM - 12:30 PM Salons BC


Chair(s): Mariangela Guidolin, Department of Statistical Sciences, University of Padua

11:05 AM	Bayesian Inference for Stochastic Processes View Presentation Lyle David Broemeling, University of Texas MD Anderson Cancer Center
11:50 AM	Forecasting Periodic Accumulating Processes with Semiparametric Distributional Regression Models and Bayesian Updates Harlan D. Harris, WayUp


CS07 Exploring Big Data		Fri, Feb 16, 11:00 AM - 12:30 PM Salon D


Chair(s): Christina Phan Knudson, University of St. Thomas

11:05 AM	Exploratory Data Structure Comparisons by Use of Principal Component Analysis View Presentation Anne Helby Petersen, Biostatistics, University of Copenhagen
11:50 AM	Tools for Exploratory Data Analysis View Presentation Wendy L. Martinez, U.S. Bureau of Labor Statistics


CS08 Streamlining Your Work Using Apps		Fri, Feb 16, 11:00 AM - 12:30 PM Salon E


Chair(s): Blake Langlais, Mayo Clinic

11:05 AM	Mechanizing Clinical Review Processes with R Shiny for Efficiency and Standardization View Presentation Jimmy Wong, Food and Drug Administration
11:50 AM	Building Shiny Apps: With Great Power Comes Great Responsibility View Presentation Jessica Minnier, Oregon Health & Science University


CS09 Presenting and Storytelling		Fri, Feb 16, 2:00 PM - 3:30 PM Salon A


Chair(s): Shasha Bai, University of Arkansas for Medical Sciences

2:05 PM	How to Give a Really Awful Presentation View Presentation Paul Teetor, William Blair & Co
2:50 PM	Telling the Story of Your Stats View Presentation Jennifer H. Van Mullekom, Virginia Tech


CS10 Propensity Scores and Resampling Methods		Fri, Feb 16, 2:00 PM - 3:30 PM Salons BC


Chair(s): Christine Wells, UCLA Statistical Consulting Group

2:05 PM	CANCELED: A Streamlined Process for Conducting a Propensity Score-Based Analysis John A. Craycroft, University of Louisville
2:50 PM	Resampling Methods for Statistical Inference on Multi-Rater Kappas Chia-Ling Kuo, University of Connecticut Health


CS11 Data Mining Algorithms		Fri, Feb 16, 2:00 PM - 3:30 PM Salon D


Chair(s): Abbass Sharif, University of Southern California

2:05 PM	Stochastic Gradient Boosting on Distributed Data View Presentation Roxy Cramer, Rogue Wave Software
2:50 PM	Deep Neural Networks for Scalable Prediction View Presentation Lynd Bacon, Loma Buena Assoc./Notre Dame Univ./Northwestern Univ.


CS12 Education to Practice and Data Visualization		Fri, Feb 16, 2:00 PM - 3:30 PM Salon E


Chair(s): Chester Ismay, DataCamp

2:05 PM	What Is Happening at the School Level and Why It Is Important to Statistical Practice View Presentation Jane Watson, University of Tasmania
2:50 PM	The Life-Cycle of a Project: Visualizing Data from Start to Finish View Presentation Nola du Toit, NORC at the University of Chicago


CS13 Managing Up		Fri, Feb 16, 3:45 PM - 5:15 PM Salon A


Chair(s): Ronald Gangnon, University of Wisconsin School of Medicine and Public Health

3:50 PM	What Does It Take for an Organization to Make Difficult Information-Based Decisions? Using the Oregon Department of Forestry’s RipStream Project as a Case Study View Presentation Jeremy Groom, Groom Analytics
4:35 PM	Statistics for Management of an Organization Joyce Nilsson Orsini, Fordham University Graduate School of Business


CS14 Working with Health Care Data		Fri, Feb 16, 3:45 PM - 5:15 PM Salons BC


Chair(s): Melanie Edwards, Exponent

3:50 PM	Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification View Presentation Jessica Michelle Rudd, Kennesaw State University
4:35 PM	Assessing Correspondence Between Two Data Sources Across Categorical Covariates with Missing Data: Application to Electronic Health Records View Presentation Emile Latour, Oregon Health & Science University


CS15 Statisticians Teaching		Fri, Feb 16, 3:45 PM - 5:15 PM Salon D


Chair(s): Georgette Asherman, Direct Effects, LLC

3:50 PM	Should I Bring a Basket of Fish or Some Fishing Poles? View Presentation Kathy Hall, Hewlett Packard
4:35 PM	Engaging Undergraduates in Statistical Consulting View Presentation Christina Phan Knudson, University of St. Thomas


CS16 Novel Applications of Data Visualization		Fri, Feb 16, 3:45 PM - 5:15 PM Salon E


Chair(s): Mary Grace Crissey, CSRA

3:50 PM	Warranty/Performance Text Exploration for Modern Reliability View Presentation Scott Lee Wise, SAS Institute, Inc.
4:35 PM	Improving the Data Customer’s Ability to Visualize Historical Agricultural Data at the National Agricultural Statistics Service Irwin Anolik, USDA-NASS


Saturday, February 17
CS17 Passion for Statistics		Sat, Feb 17, 9:15 AM - 10:45 AM Salon A


Chair(s): Kathleen A. Jablonski, The George Washington University

9:20 AM	Am I Supposed to Enjoy My Job? Career Observations from a Biostatistician View Presentation Daniel Thomas Cotton, Boehringer Ingelheim Pharmaceuticals
10:05 AM	Statistics in the Wild: Practicing Statistics in Nontraditional Places, from a Tiny Island in the Pacific to the Federal Cabinet Heather Krause, Datassist


CS18 Survival Analysis v. 'Survival' Analysis		Sat, Feb 17, 9:15 AM - 10:45 AM Salons BC


Chair(s): Yulia Marchenko, StataCorp LLC

9:20 AM	'How Long Would You Wait?' Using Time-to-Event (Survival) Analysis to Explore Waiting Times View Presentation Ruth Hummel, SAS Institute
10:05 AM	Statistical Methods for National Security Risk Quantification and Optimal Resource Allocation View Presentation Robert Brigantic, Pacific Northwest National Laboratory


CS19 Business Intelligence Applications		Sat, Feb 17, 9:15 AM - 10:45 AM Salon D


Chair(s): Chris Holloman, ICC

9:20 AM	Business Intelligence (BI) Reporting Solution: From Source to Nuts View Presentation Andrew Piskorowski, Survey Research Center, University of Michigan
10:05 AM	Location Analytics: An Application of GIS Moxie Zhang, Esri (China)


CS20 Understanding Populations		Sat, Feb 17, 9:15 AM - 10:45 AM Salon E


Chair(s): Shelley DeVost, Los Angeles LGBT Center

9:20 AM	Quantifying Populations in Proximity to Oil and Gas Development: A National Spatial Analysis and Review View Presentation Tanja Srebotnjak, Harvey Mudd College
10:05 AM	Approaches and Techniques for Estimating the Total Number of Species in a Population, with Emphasis on Application to Mineral Species View Presentation Grethe Hystad, Purdue University Northwest


CS21 Developing Communication Skills		Sat, Feb 17, 11:00 AM - 12:30 PM Salon A


Chair(s): Cynthia R. Long, Palmer Center for Chiropractic Research, Palmer College of Chiropractic

11:05 AM	How to Communicate Statistics, and How Statisticians Should Communicate View Presentation Achim Guettner, Novartis Pharma
11:50 AM	PANEL: Communication Skills: What's Next Lillian S. Lin, Montana State University; Kim Love, K. R. Love Quantitative Consulting and Collaboration; Alicia Toledano, Biostatistics Consulting, LLC; Eric Vance, LISA--University of Colorado Boulder


CS22 Small Sample Sizes and Non-Probability Sampling		Sat, Feb 17, 11:00 AM - 12:30 PM Salons BC


Chair(s): Amy Laird, Oregon Clinical & Translational Research Institute (OCTRI)

11:05 AM	Quantifying and Incorporating Sources of Variability and Uncertainty in Statistical Analyses with Very Small Sample Sizes View Presentation Annette M. Bachand, Ramboll Environ
11:50 AM	Non-Probability Sampling: Wave of the Future in Survey Research? View Presentation Karol Krotki, RTI


CS23 Data Science Applications		Sat, Feb 17, 11:00 AM - 12:30 PM Salon D


Chair(s): Sarah Burgoyne, Claritas

11:05 AM	Recent Advances in the Analysis and Detection of Communities in a Network Frederick Kin Hing Phoa, Institute of Statistical Science, Academia Sinica
11:50 AM	Firehose Data Science: Real-Time Analytics of Twitter Feeds View Presentation David Corliss, Ford Motor Company


CS24 Causal Inference		Sat, Feb 17, 11:00 AM - 12:30 PM Salon E


Chair(s): Larisa G. Tereshchenko, Oregon Health and Science University

11:05 AM	Causal Inference with Multilevel Data Structures Luke Keele, Georgetown
11:50 AM	A Decision Tool for Causal Inference and Observational Data Analysis Methods in Comparative Effectiveness Research (DECODE CER) View Presentation Douglas Landsittel, University of Pittsburgh

Online Program

American Statistical Association

Share