Tag Archives: Concurrent Sessions 1C

Friday August 19, 17:00-18:30

Session P2

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Panel on Statistical Collaborations Across Organizations – A Step in the Right Direction …

Organizer: Amarjot Kaur, IISA president and Executive Director, Merck & Co
Moderator: TBD
Time: Friday, 17:00–18:30
Room: LInC 210

Panelists

Richard Davis, Columbia University

Dongseok Choi, Oregon Health and Science University

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

Session IP1c1

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Shape constrained inference I

Organizer: Adityanand Guntuboyina, University of California, Berkeley
Chair: Bodhi Sen, Columbia University
Time: Friday, 17:00–18:30
Room: LInC 302

17:00-17:30

Inference for the mode of a log-concave density:  a likelihood ratio test and confidence intervals

Jon Wellner, University of Washington, Seattle

17:30-18:00

Constructing the essential histogram

Guenther Walther, Stanford University

18:00-18:30

Adaptation in log-concave maximum likelihood estimation

Adityanand Guntuboyina, University of California, Berkeley

Session IP1c2

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Complex Biostatistical Data Modeling, Probing, and Analysis

Organizer: Subir Ghosh, University of California, Riverside
Chair: Subir Ghosh, University of California, Riverside
Time: Friday, 17:00–18:30
Room: LInC 345

17:00-17:30

A Bayesian hierarchical model for meta-analysis of odds ratios with incomplete extracted data

Shemra Rizzo, University of California, Riverside

17:30-18:00

Joint Modeling of Longitudinal Binary and Continuous Responses

Esra Kurum, University of California, Riverside

18:00-18:30

Detecting Rare Haplotype Environment Interaction With Complex Sampling Data

Swati Biswas, University of Texas at Dallas

Session IP1c3

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Cutting Edge Biostatistical Research

Organizer: Susmita Datta, University of Florida
Yuan Wang, Washington State University
Time: Friday, 17:00–18:30
Room: LInC 368

17:00-17:30

Dynamic Disease Screening Using Statistical Process Control Charts

Peihua Qiu, University of Florida

17:30-18:00

Microbiome Data: First Steps in Data Analysis

Snehalata Huzurbazar, University of Wyoming

18:00-18:30

Differential Network Analysis with Multiply Imputed Lipidomic Data

Susmita Datta, University of Florida

Session IP1c4

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Pharmaceutical Statisticians: Who are We?

Organizer: Hiya Banerjee, Novartis Pharmaceuticals
Chair: Yulan Li, Medvision
Time: Friday, 17:00–18:30
Room: LInC 314

17:00-17:30

Comparing Academia and Industry: One Statistician’s Experience

Neby Bekele, Gilead Sciences, Inc

17:30-18:00

Pharmaceutical Statisticians:  Organization, Contributions to Drug Development and Opportunities for Leadership and Research

Ellen Snyder, Merck & Co., Inc.

18:00-18:30

Role of Statistician in Pharmaceutical Industry and Recent Challenges

Vipin Arora, Eli Lilly and Company

Session IP1c5

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A Variety of Dimension Reduction Techniques

Organizer: T. N. Sriram, University of Georgia
Chair: T. N. Sriram, University of Georgia
Time: Friday, 17:00–18:30
Room: LInC 350

17:00-17:30

The Dual Central Subspaces in Dimension Reduction

Ross Iaci, College of William & Mary

17:30-18:00

Sequential Sufficient Dimension Reduction

Haileab Hilafu, University of Tennessee

18:00-18:30

Sufficient Dimension Folding with Categorical Variables

Yuanwen Wang, University of Georgia

Session IP1c6

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Statistical Inference on Networks

Organizer: Sharmodeep Bhattacharyya, Oregon State University
Chair: Sharmodeep Bhattacharyya, Oregon State University
Time: Friday, 17:00–18:30
Room: LInC 268

17:00-17:30

Detection of anomalous path in a noisy network

Shirshendu Chatterjee, City University of New York

17:30-18:00

Two projects on graphons and blockmodels

David Choi, Carnegie Mellon University

18:00-18:30

Matched bipartite block model with covariates

Arash Amini, University of California, Los Angeles

Session IP1c7

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Recent advances in Bayesian Techniques

Organizer: Sanajy Chaudhuri, National University of Singapore
Chair:Rajarshi Guhaniyogi, University of California, Santa Cruz
Time: Friday, 17:00–18:30
Room: LInC 228

17:00-17:30

A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation

Sanajy Chaudhuri, National University of Singapore

17:30-18:00

Default Bayesian analysis with global-local shrinkage priors

Jyotishka Datta, Duke University

18:00-18:30

An analysis of liver transplant waiting times using semi-parametric models for ordinal data

Sujit Ghosh, North Carolina State University