Welcome to the Duke Biostatistics and Bioinformatics (B&B) Working Paper Series.
The Department of Biostatistics and Bioinformatics (B&B) engages in methodological and collaborative research, and directs educational programs, in the areas of biostatistics, computational biology, statistical genetics, epidemiology, health economics, health services research and computational medicine. The Department currently has over 45 faculty members who are individually affiliated with various research groups, centers, and institutes across the School of Medicine, including the Duke Clinical Research Institute, the Institute for Genome Sciences and Policy, the Duke Cancer Institute, the Durham VA Medical Center, the Center for HIV/Aids Vaccine Immunology, and the Duke Center for Aging. The discipline of biostatistics constitutes a primary focus of the Department, which serves as the academic home for faculty biostatisticians in the Medical Center. The Department offers two graduate programs, the Clinical Research Training Program (CRTP) and the Master of Biostatistics Program.
Outside the School of Medicine, statistics and biostatistics are represented at Duke by the Department of Statistical Science, one of the eight natural science departments in the School of Arts and Sciences. Some Department of Statistical Science faculty members have secondary appointments in B&B, and vice-versa. Secondary appointments are also held by several faculty members in the Center for Human Genetics whose primary appointments are in the Department of Medicine.
Additional information about the Department may be found at www.biostat.duke.edu.
Papers from 2012
A Bayesian Hierarchical Model for Adaptive Biomarker Strategies in Randomized Phase II Studies, William T. Barry, Charles M. Perou, P. Kelly Marcom, Lisa Carey, and Joseph G. Ibrahim
Power and Sample Size Calculations for SNP Association Studies with Censored Time-to-Event Outcomes, Kouros Owzar, Zhiguo Li, Nancy J. Cox, and Sin-Ho Jung
Dynamic Thresholds and a Summary ROC Curve: Assessing the Prognostic Accuracy of Longitudinal Markers, Paramita Saha Chaudhuri and Patrick Heagerty
Papers from 2011
SNPpy - Database Management for SNP Data from GWAS Studies, Faheem Mitha, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, and Kouros Owzar
Statistical Considerations for Analysis of Microarray Experiments, Kouros Owzar, William T. Barry, and Sin-Ho Jung
Multiple Testing for Gene Sets from Microarray Experiments, Insuk Sohn, Kouros Owzar, John Lim, Stephen George, Stephanie Mackey Cushman, and Sin-Ho Jung
Papers from 2010
Considerations to Sample Size in Random Shift among Adjusted Clinical Trials, Ying Lu, Shein-Chung Chow, and Zhongzhan Zhang
Statistical Inference for Clinical Trials with Random Shift in Scale Parameter of Target Patient Population, Ying Lu, Shein-Chung Chow, and Zhongzhan Zhang
Semiparametric Estimation of ROC Curve Under Test-Result-Dependent Sampling, Junling Ma, Xiaofei Wang, and Stephen George
permGPU: Using Graphics Processing Units in RNA Microarray Association Studies, Ivo D. Shterev, Sin-Ho Jung, Stephen L. George, and Kouros Owzar
Nonparametric Estimation of AUC and Partial AUC under Test-Result-Dependent Sampling, Xiaofei Wang, Junling Ma, and Stephen L. George
Bayesian Approach for Analysis of Binary Responses in Clinical Trials with Protocol Amendments, Lan-Yan Yang, Shein-Chung Chow, and Yun-Chan Chi
Papers from 2009
A Permutation-Based Multiple Testing Method for Time-Course Microarray Experiments, Insuk Sohn, Kouros Owzar, Stephen L. George, Sujong Kim, and Sin-Ho Jung
Papers from 2007
Assessing Individual Agreement, Huiman Barnhart, Andrzej S. Kosinski, and Michael J. Haber
Bayesian Weibull Tree Models for Clinico-Genomic Prediction of Survival, Jennifer Clarke and Mike West
Phase I Clinical Trials With Non-Binary Toxicity Response, Richard F. Potthoff and Stephen L. George