ENAR Spring Meeting

The premier biostatistical convention in North America, the ENAR Spring Meeting is the annual meeting of the Eastern North American Region (ENAR) of the International Biometrics Society (IBS). The meeting covers a wide range of topics of interest to both researchers and practitioners, such as data science, genomics clinical trials, neuroimaging, biomarkers, health policy, electronic health records and epidemiology. Faculty and students in the Department of Biostatistics regularly participate in short courses, tutorials and roundtables and give invited talks, contributed talks, and poster presentations. Find out more.

Minimize Student presentations at ENAR 2019

Many biostatistics students from Pitt Public Health will be participating in this year's conference either as speakers or as poster presenters.  

Sunday, March 24, 8-11 p.m.
Posters

Machine Learning:
A Two-Step Clustering Algorithm for Clustering Data with Mixed Variable Types
Shu Wang*, Jonathan G. Yabes and Chung-Chou H. Chang

Personalized Medicine:
A Comparison and Assessment of Recently Developed Tree-Based Methods for Subgroup Identification
Xinjun Wang* and Ying Ding

A Simultaneous Inference Procedure to Identify Subgroups in Targeted Therapy Development with Time-to-Event Outcomes
Yue Wei* and Ying Ding, University of Pittsburgh

Diagnostics/Agreement:
Improving Inference on Discrete Diagnostic Tests Without a Gold Standard
Xianling Wang* and Gong Tang

Genomics/Proteomics:
Sparse Negative Binomial Model-Based Clustering for RNA-seq Count Data
Md Tanbin Rahman*, University of Pittsburgh; Tianzhou Ma, University of Maryland; George Tseng, University of Pittsburgh

Monday, March 25

Contributed Papers
 

Time Series:
8:30 a.m.
Empirical Localized Time-Frequency Analysis via Penalized Reduced Rank Regression
Marie Tuft* and Robert Todd Krafty 

Machine Learning and Testing with High Dimensional Data:
11:30 a.m.

Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data using Resampling Methods
Yujia Li*, University of Pittsburgh; Xiangrui Zeng, Carnegie Mellon University; Chien-Wei Lin, Medical College of Wisconsin; George Tseng, University of Pittsburgh
Student award winner

Interval-censored and Multivariate Survival Data:
2:15 p.m.
Copula-Based Sieve Semiparametric Transformation Model for Bivariate Interval-Censored Data
Tao Sun*, Wei Chen and Ying Ding
Student award winner

Tuesday, March 26
Contributed Papers

Adaptive Designs for Clinical Trials: 
2:45 p.m.
A Simulation-Based Sample Size Determination for Adaptive Seamless Phase II/III Design
Zhongying Xu*, John A. Kellum, Gary M. Marsh and Chung-Chou H. Chang

Functional Data Analysis Methods: 
5:00 p.m.
Multilevel Localized-Variate PCA for Clustered Multivariate Functional Data
Jun Zhang*, Greg J. Siegle and Robert Todd Krafty

Next Generation Sequencing: 
5:15 p.m.
BAMM-SC: A Bayesian Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data from Population Studies
Zhe Sun* and Ying Ding, University of Pittsburgh; Wei Chen, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh; Ming Hu, Cleveland Clinic Foundation
Student award winner

Event questions?

Contact Amber Haydo, special projects coordinator, at biostat@pitt.edu or 412-648-9598