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

BIOS 553: Linear Regression


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