Sharon, Author at International Indian Statistical Association

College of Science / Department of Statistics

Recent statistical advances in genetic mapping of complex traits

Organizer: Duo Jiang, Oregon State University
Chair: Duo Jiang, Oregon State University
Time: Saturday, 14:30–16:00
Room: LInC 210

14:30-15:00

Statistical Methods for Testing Cross-Phenotype Effects of Rare Variants

Michael Epstein, Emory University

15:00-15:30

A Unified Framework for Variance Component Estimation with Summary Statistics in Genome-wide Association Studies

Xiang Zhou, University of Michigan

15:30-16:00

Association test across multiple traits

Baolin Wu, University of Minnesota

Statistical Challenges in Clinical Trial: Trend and Innovation

Organizer: Satrajit Roychoudhury, Novartis Pharmaceuticals
Chair: Satrajit Roychoudhury, Novartis Pharmaceuticals
Time: Saturday, 14:30–16:00
Room: LInC 345

14:30-15:00

Impact of Adaptive Design on Pharmaceutical Portfolio Optimization

Zoran Antonijevic, Amgen, Inc.

15:00-15:30

Using Power Contours to Assess the Sensitivity of Clinical Trial Design Assumptions

Richard Zink, JMP Life Sciences, SAS Institute

15:30-16:00

Improved group sequential clinical trial designs when comparing two interventions using two time-event outcomes

Toshimitsu Hamasaki, National Cerebral and Cardiovascular Center

Inference from regression models

Organizer: N. Rao Chaganty, Old Dominion University
Chair: Joyee Ghosh, University of Iowa
Time: Saturday, 14:30–16:00
Room: LInC 350

14:30-15:00

Regression models for analyzing inflated Bivariate count data that occur in health care.

N. Rao Chaganty, Old Dominion University

15:00-15:30

Spatial Meta Kriging

Rajarshi Guhaniyogi, University of California, Santa Cruz

15:30-16:00

Model-robust Inference for Continuous Change Point Models

Youyi Fong, University of Washington, Fred Hutchinson Cancer Research Center

Statistical Modeling for Correlated Data

Organizer: Hyokyoung (Grace) Hong, Michigan State University
Chair: Hyokyoung (Grace) Hong, Michigan State University
Time: Saturday, 16:30–18:00
Room: LInC 368

16:30-17:00

Generalized Linear Mixed Models with Gaussian Mixture Random Effects

Yi Li, University of Michigan

17:00-17:30

USAT: A Unified Score-based Association Test for Multiple Phenotype-Genotype Analysis

Saonli Basu, University of Minnesota

17:30-18:00

Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters

Yoonkyung Lee, Ohio State University

Understanding Non-Convex Optimization Problems in Statistical Learning

Organizer: Rahul Mazumder, Massachusetts Institute of Technology
Chair: Rahul Mazumder, Massachusetts Institute of Technology
Time: Saturday, 16:30–18:00
Room: LInC 268

16:30-17:00

Asymptotic comparison of q-norm regularized least squares

Arian Maleki, Columbia University

17:00-17:30

High-dimensional regression with L_0 regularization

Peter Radchenko, University of Southern California

17:30-18:00

Advanced Mixed Integer Programming Formulations for Non-Convex Optimization Problems in Statistical Learning

Juan Pablo Vielma, Massachusetts Institute of Technology

Big Data in Biological Sciences

Organizer: Sharmodeep Bhattacharyya, Oregon State University
Chair: Sharmodeep Bhattacharyya, Oregon State University
Time: Saturday, 16:30–18:00
Room: LInC 210

16:30-17:00

The Union of Intersections (UoI) Method for Interpretable Data Driven Discovery and Prediction

Kristofer Bouchard, Lawrence Berkeley National Laboratory

17:00-17:30

Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristic (NP-ROC) curves

Jessica Li, University of California, Los Angeles

17:30-18:00

Adjusting for gene-gene correlation in gene-set tests in expression data

Duo Jiang, Oregon State University

Statistical Inference with Complex Data : Beyond Normality Assumption

Organizer: Rajarshi Mukherjee, Stanford University
Chair: Sanjay Chaudhuri, National University of Singapore
Time: Saturday, 16:30–18:00
Room: LInC 228

16:30-17:15

Classification of distributions by tail heaviness

Javier Rojo, University of Nevada, Reno

17:15-18:00

Odds Ratios and Singular Values

M. B. Rao, University of Cincinnati

Learning and Predictive Models for Complex Systems

Organizer: Xiaohui Chang, Oregon State University
Chair: Yunjin Choi, Stanford University
Time: Saturday, 16:30–18:00
Room: LInC 302

16:30-17:00

Unsupervised learning with generalized split-and-recombine

Dongseok Choi, Oregon Health and Science University; President, KISS

17:00-17:30

Random forest models for the probable biological condition of streams and rivers in the USA

Eric Fox, United States Environmental Protection Agency

17:30-18:00

Mastering Feng Shui in Graph-Based Business Survival Prediction

Xiaohui Chang, Oregon State University

Statistical Challenges in Clinical Trial: Trend and Innovation

Organizer: Satrajit Roychoudhury, Novartis Pharmaceuticals
Chair: Vipin Arora, Eli Lilly and Company
Time: Saturday, 16:30–18:00
Room: LInC 345

16:30-17:00

Bayesian Adaptive Two-Stage Design for early phase oncology Trial

Rong Liu, Bayer Healthcare

17:00-17:30

Reflections of statistical challenges in biomedical science and making difference in health care

Yulan Li, Medivation

17:30-18:00

Exact Trend Test on Comparing Tumor Incidence in Transgenic Mouse Carcinogenicity Studies

Lei Shu, Astellas Pharma US, Inc.

Computational methods for Bayesian model selection

Organizer: Vivekananda Roy, Iowa State University
Chair: Jyotishka Datta, Duke University
Time: Saturday, 16:30–18:00
Room: LInC 350

16:30-17:00

On the Choice of Prior Distributions for Bayesian Binary Regression Models

Joyee Ghosh, University of Iowa

17:00-17:30

Standard Errors, Regularization Paths and Selection of Tuning Parameters for Bayesian Lassos

Sounak Chakraborty, University of Missouri

17:30-18:00

Generalized importance sampling methods for estimating large number of Bayes factors

Vivekananda Roy, Iowa state University

Recent statistical advances in genetic mapping of complex traits

14:30-15:00

Statistical Methods for Testing Cross-Phenotype Effects of Rare Variants

15:00-15:30

A Unified Framework for Variance Component Estimation with Summary Statistics in Genome-wide Association Studies

15:30-16:00

Association test across multiple traits

Statistical Challenges in Clinical Trial: Trend and Innovation

14:30-15:00

Impact of Adaptive Design on Pharmaceutical Portfolio Optimization

15:00-15:30

Using Power Contours to Assess the Sensitivity of Clinical Trial Design Assumptions

15:30-16:00

Improved group sequential clinical trial designs when comparing two interventions using two time-event outcomes

Inference from regression models

14:30-15:00

Regression models for analyzing inflated Bivariate count data that occur in health care.

15:00-15:30

15:30-16:00

Model-robust Inference for Continuous Change Point Models

Statistical Modeling for Correlated Data

16:30-17:00

Generalized Linear Mixed Models with Gaussian Mixture Random Effects

17:00-17:30

USAT: A Unified Score-based Association Test for Multiple Phenotype-Genotype Analysis

17:30-18:00

Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters

Understanding Non-Convex Optimization Problems in Statistical Learning

16:30-17:00

Asymptotic comparison of q-norm regularized least squares

17:00-17:30

High-dimensional regression with L_0 regularization

17:30-18:00

Advanced Mixed Integer Programming Formulations for Non-Convex Optimization Problems in Statistical Learning

Big Data in Biological Sciences

16:30-17:00

The Union of Intersections (UoI) Method for Interpretable Data Driven Discovery and Prediction

17:00-17:30

Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristic (NP-ROC) curves

17:30-18:00

Adjusting for gene-gene correlation in gene-set tests in expression data

Statistical Inference with Complex Data : Beyond Normality Assumption

16:30-17:15

Classification of distributions by tail heaviness

17:15-18:00

Odds Ratios and Singular Values

Learning and Predictive Models for Complex Systems

16:30-17:00

Unsupervised learning with generalized split-and-recombine

17:00-17:30

Random forest models for the probable biological condition of streams and rivers in the USA

17:30-18:00

Mastering Feng Shui in Graph-Based Business Survival Prediction

Statistical Challenges in Clinical Trial: Trend and Innovation

16:30-17:00

Bayesian Adaptive Two-Stage Design for early phase oncology Trial

17:00-17:30

Reflections of statistical challenges in biomedical science and making difference in health care

17:30-18:00

Exact Trend Test on Comparing Tumor Incidence in Transgenic Mouse Carcinogenicity Studies

Computational methods for Bayesian model selection

16:30-17:00

On the Choice of Prior Distributions for Bayesian Binary Regression Models

17:00-17:30

Standard Errors, Regularization Paths and Selection of Tuning Parameters for Bayesian Lassos

17:30-18:00

Generalized importance sampling methods for estimating large number of Bayes factors

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