Department of Biostatistics and Bioinformatics SeminarsIf you would like to present a seminar to the Department of Biostatistics and Bioinformatics, please contact:
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 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 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 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 4 Tianming Liu, Ph.D., Department of Computer Science, University of Georgia, TBA 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
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