JSM 2011 Online Program
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Activity Details
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| 424 | Tue, 8/2/2011, 2:00 PM - 3:50 PM | CC-Hall D | |
| Contributed Oral Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations | |||
| Section on Bayesian Statistical Science | |||
| Chair(s): Benmei Liu, National Cancer Institute | |||
| 26: | Sample Size Determination for Drug Combination in Fixed Dose Trials — Jie Wang, Quintiles Inc. | ||
| 27: | Coherence in Hypotheses Testing — Rafael Izbicki, Carnegie Mellon University ; Luís Gustavo Esteves, Universidade de Sao Paulo | ||
| 28: | Bayesian Estimation of Logistic Regression with Misclassified Covariates and Response for Educational Psychology Data — Brandi Falley, Baylor University ; James Stamey, Baylor University ; Alex Beaujean, Baylor University | ||
| 30: | Bayesian Model Checking in Hierarchical Spatial Models for Count Data — Liang Jing, The University of Texas at San Antonio ; Victor De Oliveira , The University of Texas at San Antonio | ||
| 31: | Modeling Temporal Dynamics of Vaginal Bacterial Communities in Healthy Women — Zaid Abdo, University of Idaho ; Ursel Schutte, Indiana University | ||
| 32: | Interval-Censored Negative Binomial Regression — Stephanie Simon, Baylor University | ||
| 33: | Incomplete Data as a Predictor in Multiple Imputation Models — Tracy Pondo, Centers for Disease Control and Prevention ; Elizabeth Zell, Centers for Disease Control and Prevention ; Melissa M. Lewis, Centers for Disease Control and Prevention | ||
| 34: | Latent Class Analysis of Multivariate Longitudinal Data: Uncovering Response Patterns in a Stem Cell Study — Qianqiu Li, Johnson & Johnson Pharmaceutical R&D, LLC ; Xiaozhen Wang, Johnson & Johnson Pharmaceutical R&D, LLC ; Ian Harris, Johnson & Johnson Pharmaceutical R&D, LLC ; Bill Pikounis, Johnson & Johnson Pharmaceutical R&D, LLC | ||
| 35: | The Valence Bond - A Bayesian Approach To Patient Linking — Bart Phillips, Valence Health ; Brandon Barber, Valence Health | ||
| 36: | In Defense of Randomization: A Subjectivist Bayesian Approach — Fernando Vieira Bonassi, Duke University ; Raphael Nishimura, University of Michigan ; Rafael Bassi Stern, Carnegie Mellon University | ||
| 37: | Bayesian Surface Smoothing Under Anisotropy for Count Data — Subhashish Chakravarty, University of Southern California | ||
| 39: | A Bayesian Decision-Based Model for Aggregating Expert's Information — María Jesús Rufo, University of Extremadura Escuela Politécnica ; Jacinto Martín, University of Extremadura ; Carlos Javier Pérez, University of Extremadura | ||
| 40: | Seqbayes: An Adaptive Bayesian Framework for Calling Genotypes from Next-Generation Sequence Data — Daniel D. Kinnamon, University of Miami Miller School of Medicine ; Eric H. Powell, University of Miami Miller School of Medicine ; Michael A. Schmidt, University of Miami Miller School of Medicine ; Eden R. Martin, University of Miami Miller School of Medicine | ||
| 41: | Bayesian Inference for Mean Residual Life Functions in Survival Analysis — Valerie Poynor, University of California at Santa Cruz | ||
| 42: | Bayesian Elastic Net for Multi-Class Classification and Survival Analysis — Lingling Zheng, Duke University | ||
| 43: | Bayesian Model Selection Using Nonlocal Priors — Lu Wang, University of California at Los Angeles | ||
| 44: | A Graph-Theoretic Analysis of Brain Connectivity in Schizophrenia Patients Using a Bayesian Hierarchical Model — Lijun Zhang, Emory University ; DuBois Bowman, Emory University | ||
2011 JSM Online Program Home
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