Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Lab returned 73 record(s)
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Sunday, 07/30/2017
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Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM
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Explaining Statistics to Non-Statisticians
Heather Smith, CalPoly; Eric Vance, LISA-University of Colorado Boulder
2:45 PM
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Using Video to Improve Your Collaboration Skills
Eric Vance, LISA-University of Colorado Boulder; Heather Smith, CalPoly
3:05 PM
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Scalable Bayes Under Informative Sampling
Sanvesh Srivastava, University of Iowa; Terrance Savitsky, U.S. Bureau of Labor Statistics
3:05 PM
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Model-Assisted Estimation of Proportions in Repeated Survey with Complex Rotation Pattern: Application to the Current Population Survey
Daniel Bonnéry, University of Maryland
3:20 PM
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Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM
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Some Lessons I've Learned on Leadership and Influence During My Career
Nathaniel Schenker, Retired
3:25 PM
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Statistics on the Hill: Data Analysis for Congressional Oversight, Program Evaluation, and Policy Analysis
Nancy Kingsbury, U.S. Government Accountability Office; Jeff Tessin, U.S. Government Accountability Office; Anna Maria Ortiz, U.S. Government Accountability Office; Courtney LaFountain, U.S. Government Accountability Office; Michael Hoffman, U.S. Government Accountability Office
4:05 PM
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Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM
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Analysis and Results of a Bonded Labor Prevalence Survey in Tamil Nadu, a State of India
Paul Zador, Westat; Beth Ann Rabinovich, Westat
5:05 PM
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Monday, 07/31/2017
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Scalable Precision Medicine Through mHealth
Eric Laber, North Carolina State University
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Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics
Randall Powers, US Bureau of Labor Statistics; Daniel Gillman, Bureau of Labor Statistics
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Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
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Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia
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Comparison of Model selction and Averaging for Collaborative Studies
Andrew Rukhin
8:35 AM
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An Overview of Existing and a Novel Approaches to Multi-Label Classification
Hyukjun Gweon; Matthias Schonlau, University of Waterloo; Stefan Steiner, University of Waterloo
8:35 AM
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Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics
Randall Powers, US Bureau of Labor Statistics; Daniel Gillman, Bureau of Labor Statistics
8:40 AM
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Scalable Approximations of Marginal Posteriors in Variable Selection
Willem Van Den Boom, Duke University; Galen Reeves, Duke University; David Dunson, Duke University
8:55 AM
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Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia
9:45 AM
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Statisticians Leading the Way: Advocating for Learning Health Systems and Collaborating Effectively with Clinical Stakeholders
Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Scott Zeger, Johns Hopkins University
11:50 AM
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Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
11:55 AM
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A Fast Scalable Procedure for Finding Change Points in Random Graphs
Mingyuan Gao, University of Florida; George Michailidis, University of Florida
12:05 PM
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Graph-Based Sparse Linear Discriminant Analysis for High-Dimensional Classification
Jianyu Liu, University of North Carolina at Chapel Hill; Guan Yu, State University of New York at Buffalo; Yufeng Liu, University of North Carolina
2:05 PM
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From Research to Action: The Use of Statistics and Impact Evaluations to Combat Child Labor and Forced Labor Internationally
Kevin Hong, US Department of Labor; Charita Castro, US Department of Labor; Tina Faulkner, US Department of Labor; Carolyn Huang, US Department of Labor; Furio Rosati, Understanding Children's Work Project; Lorenzo Guarcello, Understanding Children's Work Project; Federico Blanco, International Labor Organization; Michaëlle de Cock, International Labour Organization
2:05 PM
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Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo
Leo Duan, Johns Hopkins University; James Johndrow, Stanford University; David Dunson, Duke University
2:20 PM
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The Effects of Currently Reported Data on Data Quality: An Analysis of the Agricultural Labor Survey
Emilola Abayomi, USDA/NASS; Heather Ridolfo, USDA/NASS
2:20 PM
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Consulting Dish Cooked Three Different Ways: The Recipe and Execution of the Dish from the Side of Academics
Nairanjana Dasgupta, Washington State University
2:35 PM
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Tuesday, 08/01/2017
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Consulting, Collaboration, or Something Else? Perspectives
Michiko Wolcott, Msight Analytics
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Design Specifications of Performance for an Analytical Laboratory Method
Beimar Iriarte, Abbott Laboratories
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Maintaining Trial Integrity for Randomized Open-Label Trials
Wenyun Ji, Amgen, Inc.
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
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Helping Under Prepared Students Succeed in Introductory Statistics
Paul Plummer, University of Central Missouri
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Maintaining Trial Integrity for Randomized Open-Label Trials
Wenyun Ji, Amgen, Inc.
9:05 AM
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Bayesian sparse propensity score estimation for unit nonresponse
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
9:20 AM
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Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM
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Empirical Assessment of Programs to Promote Collaboration: a Network Model Approach
Katherine McLaughlin, Oregon State University; Joshua D. Embree, RAND Corporation
10:35 AM
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Policy Enforcement Through Measurement Precision: Effects in the Baseball Players' Labor Market
Brian M. Mills, University of Florida
10:55 AM
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FINDING GOOD COLLABORATORS
Karen Bandeen-Roche, Johns Hopkins University
11:00 AM
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A Permutation-Based Model for Crowdsourcing: Optimal Estimation and Robustness
Nihar B Shah, Univ of California - Berkeley; Sivaraman Balakrishnan, Department of Statistics, CMU; Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
11:15 AM
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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
11:20 AM
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Helping Under Prepared Students Succeed in Introductory Statistics
Paul Plummer, University of Central Missouri
11:30 AM
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM
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Practical and Theoretical Considerations of Panel Effects for the Current Population Survey's Composite Estimator
Greg Erkens, Bureau of Labor Statistics
12:05 PM
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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
2:05 PM
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Effective Collaboration Between Biostatisticians and Data Analysts in Developing Statistical Methods for Population Health Reports
Yahya Daoud, Baylor Scott & White Health; Maria Funes, BSW Quality Alliance; Matt Seale, BSW Quality Alliance; Raymond Pacheco, BSW Quality Alliance
2:05 PM
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MaxDiff Adjusted to Items Non-Availability and Network Effects
Stan Lipovetsky, GfK North America; Michael W. Conklin, GfK North America
2:20 PM
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The Collaborative Statistician as Project Manager: Strategizing for Success in a Changing Environment
Michele Shaffer, Seattle Children's Research Institute
2:20 PM
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Teaching Statistical Collaboration Classes in Sequence
Dandan Liu, Vanderbilt University; Mario Davidson, Vanderbilt University
2:25 PM
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Taking the Pulse of Collaboration at Academic Medical Centers
Phillip Schulte, Mayo Clinic; Felicity Enders, Mayo Clinic; Jareen Meinzen-Derr, Cincinnati Children's Hospital Medical Center; Susan Perkins, Indiana University; Lori Lyn Price, Tufts University School of Medicine
2:35 PM
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Statistical Collaboration: Experiential and Case Study Based Teaching Approaches
Trupti Trivedi, Drexel University/Adaptimmune LLC
2:45 PM
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Coping with Scientists' Culture in Statistical Consulting or Collaboration: Problems and Solutions
Martin Levy, University of Cincinnati
2:50 PM
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DETECTING POLITICALLY MOTIVATED TAMPERING WITH SURVEY DATA ON LABOR INCOME
John Angle, The Inequality Process Institute
2:50 PM
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Ensuring Reproducibility of Collaborative Projects: Statisticians Taking the Lead
Rachel Jia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; John Mandeli, Icahn School of Medicine at Mount Sinai; Meng Ru, Icahn School of Medicine at Mount Sinai
3:05 PM
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Videos for Simulating the Statistical Collaborative Experience
Amy S Nowacki, Cleveland Clinic
3:05 PM
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Using Videos for Teaching and Assessing Collaborative Skills
Kristen McQuerry, University of Kentucky; Amy S Nowacki, Cleveland Clinic
3:25 PM
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Wednesday, 08/02/2017
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Making Sense of Abundance of Data Through Collaborations
Ying Ding, University of Pittsburgh
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The Prostate Biopsy Collaborative Group
Katharina Selig, Technical University of Munich; Johanna Straubinger, Technical University of Munich; Donna Ankerst , Technical University of Munich
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Challenges and Rewards of Major Career Changes for Collaborative Statisticians
Kim Love, K. R. Love Quantitative Consulting and Collaboration; Lillian Lin, Montana State University; Christopher Holloman, Information Control Company; Bonnie Ghosh-Dastidar, The RAND Corporation
8:30 AM
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Risk Factors Associated with Hospital Readmission in Pediatric Patients
Yunfei Wang, Children's National
8:35 AM
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Efficient Pattern Detection in Web-Scale Graphs by Subcore-Tree Decomposition and Subset Scanning
Daniel Bertrand Neill, Carnegie Mellon University; Chunpai Wang, University at Albany; Feng Chen, University at Albany; Daniel Hono, University at Albany
9:00 AM
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Time Trend Analysis with Complex Survey Data
Morgan Earp, U.S. Bureau of Labor Statistics; Daniell Toth, US Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
9:55 AM
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Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model
Jian Zhao, The EMMES Corporation
10:05 AM
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Being Research Active in Teaching-Focused Colleges
Ming-Wen An, Vassar College; Paul Roback, St. Olaf College; Amy Wagaman, Amherst College; Steve Wang, Swarthmore College; Gideon Zamba, University of Iowa
2:05 PM
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On Sparse Bayes Predictive Density Estimates
Gourab Mukherjee, University of Southern California
2:25 PM
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Batch Effects Correction with Unknown Subtypes
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
2:35 PM
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Thursday, 08/03/2017
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Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis
Haiyan Huang, Univ of California at Berkeley
8:55 AM
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Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM
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Multiple Testing Approaches in Device Clinical Trials
Vandana Mukhi, FDA/CDRH; Heng Li, U. S. FDA
9:20 AM
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The Impact of John Cornell on My Life and Work at a National Laboratory
Greg Piepel, Pacific Northwest National Laboratory
9:55 AM
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Bayesian Model Averaging in Multiple Imputation Under Informative Sampling
Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
10:35 AM
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Big Data with Bite Size Solutions
Spencer Lourens, Indiana University
10:35 AM
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Multivariate Nonparametric Tolerance Regions for Determining Reference Regions in Laboratory Medicine
Derek Young, University of Kentucky; Thomas Mathew, University of Maryland, Baltimore County
11:05 AM
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Methods for Collecting State-Wide Prevalence of Bonded Labor in Tamil Nadu, India, Inside Worksites
Andrea Parks, International Justice Mission
11:50 AM
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