Department of Biostatistics and Bioinformatics Seminars

If you would like to present a seminar to the Department of Biostatistics and Bioinformatics, please contact: 

 

Jan  Feb  Mar  Apr  May  Jun 
Jul  Aug  Sep  Oct  Nov  Dec 

August 2014 

21 Statistical Methods for Causal Inference in Observational Studies by Pallavi Mishra-Kalyani, M.S., Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University. This presentation is Mrs. Mishra-Kalyani's Dissertation Defense. Advisors: Qi Long, Ph.D. and Brent Johnson, Ph.D.

28 Parallel Methods for Bayesian Network Structure Learning by Srinivas Aluru, Ph.D., School of Computational Science and Engineering, Georgia Institute of Technology


September 2014

4 Functional Data Analysis of Neuroimaging Data by Hongtu Zhu, Ph.D., Department of Biostatistics and Imaging Analysis Lab, University of North Carolina

11 Haplotype Reconstruction and Quantification from NGS Data by Alexander Zelikovsky, Ph.D., Department of Computer Science, Georgia State University

18 A Network Model of Cellular Aging and its Applications by Hong Qin, Ph.D., Departmet of Biology, Spelman College

25 A Bayesian Feature Allocation Model for Tumor Heterogeneity by Peter Mueller, Ph.D., Department of Mathematics, University of Texas at Austin


October 2014

2 Spatial Access to Pediatric Primary Care: A Study of Disparities Across Multiple States by Nicoleta Serban, Ph.D., Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, and Monica Gentili, Ph.D., Institute of People and Technolgy, Georgia Institute of Technology

9 Characterizing the Not-so-resting State of the Brain with fMRI by Xiaoping Hu, Ph.D., The Wallace H. Coulter Department of Biomedical Engineering, Emory Unviersity

16 Uniformly and Restricted Most Powerful Bayesian Tests, with Implications for the Reproducibility of Scientific Research by Valen Johnson, Ph.D., Department of Statistics, Texas A&M University

24 Hierarchical Models: A Paradigm Shift in the Statistical Analysis of Large, Complex Datasets by Alan Gelfand, Ph.D., Department of Statistical Science, Duke University

30 Analyzing Single-Molecule Protein-Targeting Experiments via Hierarchical Models by Samuel Kou, Ph.D., Department of Statistics, Harvard University


November 2014

6 Smoothed Jackknife Empirical Likelihood Inference for the Difference of ROC Curves by Yichuan Zhao, Ph.D., Department of Mathematics and Science, Georgia State University

13 Nonparametric and Semiparametric Bayes Inference with Recurrent Event Data by AKM Fazlur Rahman, Ph.D., Department of Biostatistics and Bioinformatics, Emory University

20 Transelliptical Graphical Models: Theory and Computation by Han Liu, Ph.D., Department of Operations Research and Financial Engineering, Princeton University


December 2014

4 Tianming Liu, Ph.D., Department of Computer Science, University of Georgia, TBA


January 2015

22 On the Analysis of Clustered Semi-Competing Risks Data by Sabastien Haneuse, Ph.D., Department of Biostatistics, Harvard University


February 2015

5 Brian Reich, Ph.D., Department of Statistics, North Carolina State University, TBA

19 Weighting Beyond Horvitz-Thompson in Causal Inference by Fan Li, Ph.D., Department of Statistical Science, Duke University

26 Beth Ann Griffin, Ph.D., RAND Center for Causal Inference, RAND Corporation, TBA


March 2015

5 James Crooks, Office of Research and Development, U.S. Environmental Protection Agency, TBA

26 Adam Szpiro, Ph.D., Department of Biostatistics, University of Washington, TBA


April 2015

13 Brogan Lecture

23 Wensheng Guo, Ph.D., Department of Biostatistics and Epidemiology, University of Pennsylvania, TBA


May 2015


June 2015


July 2015
August 2015
September 2015
October 2015
November 2015
December 2015
 

Rollins School of Public Health, Department of Biostatistics and Bioinformatics