Courses
Fall 2014
BIOS 667: Statistical Learning and Data Mining
Spring 2014
BIOS 668: Statistical Methods for High-throughput Genomic Data II
Spring 2013
BIOS 667: Supervised Learning and Data Mining
Fall 2012
BIOS 567: Statistical Methods for High-throughput Genomic Data I
Spring 2012
BIOS 554: Analysis of Variance
Fall 2011
Previous semesters
Spring 2010: BIOS 667: Advanced Data Analysis
Spring 2009: BIOS 567 Statistical Methods for Microarray Data
Fall 2008: BIOS 667 Advanced Data Analysis
Spring 2008: BIOS 567 Statistical Methods for Microarray Data
Fall 2007: BIOS 667 Advanced Data Analysis
Spring 2007: BIOS 567 Statistical Methods for Microarray Data
Fall 2006: BIOS 667 Advanced Data Analysis
Spring 2006: BIOS 567 Statistical Methods for Microarray Data
Fall 2005: BIOS 667 Advanced Data Analysis
Spring 2005: BIOS 691 Special Topics in Biostatistics-
Statistical Methods for Microarray Data
Fall 2004: BIOS 667 Advanced Data Analysis
Spring 2004: BIOS 691 Special Topics in Biostatistics-
Statistical Methods for Microarray Data
Spring 2003: BIOS 514 Mathematical Statistics II
Fall 2002: BIOS 513 Mathematical Statistics I
Past Students
Ryan V. Kimes, M.S., 2006. "Quantifying the Effects of Correlated Covariates on Variable Importance Estimates from Random Forests."
S. Brett Kliner, M.S., 2006. "Empirical characterization of variability among Affymetrix probe set expression summaries by sequence fidelity."
Richard E. Kennedy, Ph.D., 2008. "Probe level analysis of Affymetrix microarray data."Sponsor for R.E. Kennedy's NIH Individual Biomedical Informatics Fellowship, 1F37LM008728-01.
Xiangrong Kong, Ph.D. 2008; "Variable selection in competing risks using the L1 penalized Cox model."
Andre Williams, Ph.D., 2010. "Stereotype logit models for high-dimensional data"
Maria Capparuccini, Ph.D. 2010. "Inferential methods for high-throughput methylation data"
Xueping Zhang, M.S., 2010 Clinical Research and Biostatistics "A Meta-analysis of microRNA microarray studies in prostate cancer"
Sarah E. Reese, Ph.D., 2013. "A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis."
Jiayi Hou, Ph.D. 2013; "Regularization methods for predicting an ordinal response using longitudinal high-dimensional genomic data."
Mateusz Makowski, Ph.D. 2015; "High-throughput data analysis: Application to micronuclei frequency and T-cell receptor sequencing"
Current Advisees
Umaporn Siangphoe
Qing Zhou
Kyle Ferber
Rebecca Lehman
Amanda Gentry