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.
Many biostatistics students from Pitt Public Health will be participating in this year's conference either as speakers or as poster presenters.
Student presentation details to come.
A Two-Step Clustering Algorithm for Clustering Data with Mixed Variable Types
Shu Wang*, Jonathan G. Yabes and Chung-Chou H. Chang
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
Improving Inference on Discrete Diagnostic Tests Without a Gold Standard
Xianling Wang* and Gong Tang
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
Time Series:8:30 a.m.Empirical Localized Time-Frequency Analysis via Penalized Reduced Rank RegressionMarie 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 MethodsYujia Li*, University of Pittsburgh; Xiangrui Zeng, Carnegie Mellon University; Chien-Wei Lin, Medical College of Wisconsin; George Tseng, University of PittsburghStudent award winner
Interval-censored and Multivariate Survival Data:
Copula-Based Sieve Semiparametric Transformation Model for Bivariate Interval-Censored Data
Tao Sun*, Wei Chen and Ying Ding
Student award winner
Adaptive Designs for Clinical Trials: 2:45 p.m.A Simulation-Based Sample Size Determination for Adaptive Seamless Phase II/III DesignZhongying 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 DataJun 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 StudiesZhe Sun* and Ying Ding, University of Pittsburgh; Wei Chen, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh; Ming Hu, Cleveland Clinic FoundationStudent award winner
Contact Amber Haydo, special projects coordinator, at firstname.lastname@example.org or 412-648-9598