Women in Statistics

Organizer: Ellen Snyder, Merck & Co., Inc.
Chair: Ellen Snyder, Merck & Co., Inc.
Time: Saturday, 10:30–12:00
Room: LInC 210

Participants/ speakers

Amanda L. Golbeck, University of Arkansas

Lisa Lupinacci, Biostatistics, Merck & Co. Inc.

Bhramar Mukherjee, University of Michigan School of Public Health

Young researcher session

Chair: Tapan Nayak, George Washington University
Time: Saturday, 10:30–12:00
Room: LInC 350

10:30-11:00

 Ground state energy in the spherical mixed p-spin model

Arnab Sen, University of Minnesota

11:00-11:30

A New Perspective on Boosting in Linear Regression via Modern Optimization

Rahul Mazumder, MIT

11:30-12:00

On mixed memberships and matrix factorization

Purnamitra Sarkar, University of Texas, Austin

Recent advances in nonparametric methods and model selection

Organizer: Lan Xue, Oregon State University
Chair: Lan Xue, Oregon State University
Time: Saturday, 10:30–12:00
Room: LInC 268

10:30-11:00

Variable selection for additive autoregressive model via cumulative ratios of empirical strengths total

Miao Yang, Oregon State University

11:00-11:30

Selection by Partitioning the Solution Path

Peng Wang, University of Cincinnati

11:30-12:00

Spline confidence bands for generalized regression models

Jing Wang, University of Illinois at Chicago

High Dimensional Inference

Organizer: Kshitij Khare, University of Florida
Chair: Ali Shojaie, University of Washington
Time: Saturday, 10:30–12:00
Room: LInC 302

10:30-11:00

Scalable and consistent variable selection for high dimensional logistic regression

Naveen Narisetty, University of Illinois at Urbana-Champaign

11:00-11:30

Network-based pathway enrichment analysis with incomplete network information

George Michailidis, University of Florida Consortium

11:30-12:00

A Bayesian approach for envelope models

Kshitij Khare, University of Florida

Statistical Evidence in Practice: Effect Size on Probability Scale

Organizer: Subir Ghosh, University of California, Riverside
Chair: Subir Ghosh, University of California, Riverside
Time: Saturday, 10:30–12:00
Room: LInC 314

10:30-11:00

P-values, Bias and Variability : Implications for Replication Power

Laura Lazzeroni, Stanford University

11:00-11:30

Small Effect Sizes with Large Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

Alexandra Chouldechova, Carnegie Mellon University

11:30-12:00

Identification of Average Causal Mediation Effects with Multiple Mediators in the Presence of Treatment Non-compliance

Soojin Park, University of California, Riverside

Models and limit theorems

Organizer: Srinivasan Balaji, George Washington University
Chair: Karthyek Murthy, Columbia University
Time: Saturday, 10:30–12:00
Room: LInC 368

10:30-11:00

Central limit theorems and bootstrap in high dimensions

Kento Kato, University of Tokyo

11:00-11:30

Models of Self-Organized Criticality

Riddhipratim Basu,  Stanford University

11:30-12:00

Recurrence and Transience of Random Walks Driven by Polya Urns

Srinivasan Balaji, George Washington University

Optimize Clinical Trial Information: Evidence Based Approaches

Organizer: Satrajit Roychoudhury, Novartis Pharmaceuticals
Chair: Shailaja Shuruavanshi, Merck & Co
Time: Saturday, 10:30–12:00
Room: LInC 345

10:30-11:00

Bayesian approach for benefit:risk analysis

Ram Tiwari, Center for Devices and Radiological Health, Food and Drug Administration

11:00-11:30

Challenges in Biomarker-driven drug development

Qi Xia, Genentech

11:30-12:00

An Evidential Paradigm for Experiments

Qing Liu, QRMedSci

Big data: challenges and opportunities

Organizer: Larissa Stanberry, Seattle Children’s Research Institute
Chair: Jessica Li, University of California, Los Angeles
Time: Saturday, 10:30–12:00
Room: LInC 228

10:30-11:00

A threshold regression model for assessing covariate effects on reproducibility of high-throughput experiments

Qunhua Li, Penn State University

11:00-11:30

Тhe emerging role of the data science and statistics in healthcare industry

Larissa Stanberry, Seattle Children’s Research Institute

11:30-12:00

Characterization, Modeling and Management of Data Quality, Risk and Cost in the Integration of Surveys with Alternative Data Sources

John L. Eltinge, U.S. Bureau of Labor Statistics