Here are talks given by members and friends of our department at JSM 2008:
Post-Imputation Variance Estimation - Invited - Papers 4:30 PM Multiply Imputing Potential Outcomes To Estimate Individual Causal Effects — Susanne Rässler, Otto-Friedrich University Bamberg; Donald B. Rubin, Harvard University
Statistical Methods for Genome-Wide Association Studies - Contributed – Papers 4:35 PM Bayesian Inference of Epistatic Interactions with Applications to HIV Drug Resistance — Jing Maria Zhang, Harvard University; Jun S. Liu, Harvard University
* 104 - Mon, 8/4/08, 8:30 AM - 10:20 AM, CC-706
Model Selection, Matching, and Meta-Analysis - Contributed - Papers 9:05 AM The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation — Kosuke Imai, Princeton University; Gary King, Harvard University; Clayton Nall, Harvard University
Bayesian Applications in Social Sciences, Public Health, and Sports - Contributed - Papers 10:35 AM Rasch and Mixture of Generalized Linear Mixed Models for Analysis of Aphasic Deficits of Syntactic Comprehension — Roee Gutman, Harvard University; Gayle DeDe, Boston University; David Caplan, Massachusetts General Hospital; Jun S. Liu, Harvard University
Variable Selection with High-Dimensional Data - Invited - Papers 10:35 AM Challenge of Dimensionality in Model Selection and Classification — Jianqing Fan, Princeton University; Yingying Fan, Harvard University
Dimension Reduction, Variable Selection, and Correlation Pursuit in Semiparametric Settings - Topic Contributed - Papers 11:15 AM An Asymptotic Analysis of the Stepwise Correlation Pursuit Variable Selection Method — Tingting Zhang, Harvard University; Wenxuan Zhong, University of Illinois at Urbana-Champaign; Jun S. Liu, Harvard University 11:30 AM Selective Partially Augmented Naïve Bayes with Model Averaging — Yuan Yuan, Harvard University; Jun S. Liu, Harvard University
Methods for Survival Time Analyses - Contributed - Papers 10:50 AM Structural Models for the Effect of a Time-Varying Exposure on Survival — Jessica G. Young, Harvard School of Public Health; Miguel A. Hernán, Harvard School of Public Health; Sally Picciotto, Harvard School of Public Health; James Robins, Harvard School of Public Health
Networks - Contributed - Papers 2:05 PM Methods for Time-Dependent Network Analysis — Andrew C. Thomas, Harvard University; Joseph Blitzstein, Harvard University 2:20 PM Collapsibility for Directed Acyclic Graphs — Xianchao Xie, Harvard University; Zhi Geng, Peking University
Statistical Applications in Engineering - Contributed - Papers 2:50 PM A Detailed Correlation Analysis of Enzymatic Reaction of a Single Protein Based on the Stochastic Network Model — Chao Du, Harvard University; Samuel Kou, Harvard University
Contributed Poster Presentations - Contributed - Poster Presentations 69: A Propensity Score Analysis To Improve Covariate Balance in a Randomized Experiment: Reducing Bias in the Prevention of Perinatal Sepsis (PoPS) Trial — Cassandra K. Wolos, Harvard University; Donald B. Rubin, Harvard University
Contributed Poster Presentations - Contributed - Poster Presentations Measuring Goodness-of-Fit for Generalized Linear Models — Yves Chretien, Harvard University; Carl Morris, Harvard University
Multiscale Methods for Overcomplete Representations - Invited - Papers Organizer(s): Patrick J. Wolfe, Harvard University Chair(s): Xiao-Li Meng, Harvard University 2:55 PM Multiscale Time-Frequency Representations and Inference for Forensic Speech and Audio Analysis — Patrick J. Wolfe, Harvard University
Best of the Annals of Applied Statistics - Invited - Papers 2:05 PM - Stochastic Modeling in Nanoscale Biophysics: Subdiffusion Within Proteins — Samuel Kou, Harvard University 2:35 PM - Of Mice and Men: Sparse Statistical Modeling in Genomics — Mike West, Duke University 2:55 PM - Should the Democrats Move to the Left on Economic Policy? — Andrew Gelman, Columbia University; Cexun J. Cai, Columbia University 3:20 PM Disc: Bradley Efron, Stanford University
Bayesian Methods - Contributed - Papers 9:50 AM Unifying the Named Natural Exponential Families and Their Relatives — Kari F. Lock, Harvard University; Carl Morris, Harvard University
Statistical Methods and Applications of Social Network Analysis - Invited - Papers Disc: Joseph Blitzstein, Harvard University
Hypothesis Testing in Neuroimaging - Topic Contributed - Papers 11:15 AM Inference for Eigenvalues and Eigenvectors of Diffusion Tensors in Multisubject Diffusion Tensor Imaging Studies — Armin Schwartzman, Harvard School of Public Health; Robert F. Dougherty, Stanford University; Jonathan E. Taylor, Stanford University