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Keyword Search Criteria: BIG data returned 21 record(s)
Sunday, 07/30/2017
Strengths, Opportunities and Challenges in the Era of BIG Data: An Asian Statistician Perspective
Sastry Pantula, Oregon State University College of Science


The Biglasso Package: a Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Yaohui Zeng, University of Iowa; Patrick Breheny, University of Iowa
2:25 PM

Key Issues in Analyzing Big Data for Mental Health Studies: An Illustration Using Functional Data Analysis Methods for EEG
Catherine Ann Sugar, University of California, Los Angeles
2:30 PM

The Path from Big Data to Precision Medicine Is Paved with Statistics
Emma Huang, Janssen R&D; Hae Kyung Im, University of Chicago; Patrick Ryan, Janssen R&D; Haochang Shou, University of Pennsylvania; Vadim Zipunnikov, Johns Hopkins University; Michelle Dunn, National Institutes of Health
4:05 PM

Combining Clinical and Nonclinical Big Data from Multiple Sources
Javier Cabrera, Rutgers University; Birol Emir, Pfizer Inc; Demissie Alemayehu, Pfizer Inc
5:25 PM

Monday, 07/31/2017
How We Take Advantage of Big Data When Dealing with the Dilemma in Early-Phase Oncology?
Shaoyi Li, Celgene


Design of Experiment for Big Data Era
Dennis K.J. Lin, Penn State University


Embracing Blessing of Massive Scale in Big Data
Guang Cheng, Purdue; Stanislav Volgushev, Univ of Toronto; Shih-Kang Chao, Purdue
8:35 AM

Inference for Big Data
Larry Wasserman, Carnegie Mellon
9:00 AM

Bayesian Multiscale Spatial Models for Big Data
Raj Guahniyogi, UCSC
9:35 AM

Tuesday, 08/01/2017
Integrating Data Science and Big Data Concepts and Machine Learning in Drug Safety
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda


Make Big Data Alive: Interactive Data Visualization in Metabolomics Research
Jinxi Liu, The George Washington University; Ella Temprosa, The George Washington University


A Divide-And-Conquer Approach for Survival Analysis in Big Data
Shou-En Lu, Rutgers Department of Biostatistics; Jerry Q. Cheng, Rutgers Cardiovascular Institute of New Jersey; Minge Xie, Rutgers University
8:50 AM

Confidence Inference Function in Big Data
Peter XK Song, University of Michigan, ; Ling X.K. Zhou, University of Michigan
2:05 PM

Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts; Rochelle E Tractenberg, Georgetown University
2:35 PM

Wednesday, 08/02/2017
Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM

Efficient Parallelized K-Means for Clustering Big Data
Geoffrey Thompson, Iowa State University; Ranjan Maitra, Iowa State University
9:55 AM

Thursday, 08/03/2017
Small and Large Sample Bias of REML Estimates of Genomic Heritability Estimates: An Assessment Using Big Data
Raka Mandal; Gustavo De Los Campos, Michigan State University; Alexander Grueneberg, Michigan State University; Tapabrata Maiti, Michigan State University
10:50 AM

Using Big Data to Enhance US Census Bureau Economic Data Products
Rebecca Hutchinson, US Census Bureau; Scott Scheleur, US Census Bureau
10:55 AM

Piecewise Solutions to Big Data
Anuradha Roy, The University of Texas at San Antonio; Henry Chacon, The University of Texas at San Antonio
10:55 AM

Model-Based Clustering of Big Data
Paul McNicholas, McMaster University
11:55 AM

 
 
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