Steven (Shuangge) Ma, Ph.D.
Assistant Professor,
Biostatistics
Laboratory Web page
Dr. Ma’s research focuses on statistical analysis of interval censored survival data and bioinformatics. He has developed M-estimation theories for likelihood based and rank based estimates for interval censored data under semiparametric models. In the past two years, Dr. Ma has been working on classification and survival analysis using microarray data. His current projects include rank estimation for interval censored data and survival analysis using microarray data when clustering structures are present. He is also interested in statistical analysis of HIV and cardiovascular disease data.
Education
Ph.D., University of Wisconsin, 2004
Selected Publications
Ma, S., Kosorok, M.R., and Fine, J.P. Additive Risk Models for Survival Data with High-dimensional Covariates. Biometrics 62: 202-210, 2006.
Ma, S., Song, X., and Huang, J. Regularized Binormal ROC Method in Disease Classification Using Microarray Data. BMC Bioinformatics 7: 253, 2006.
Ma, S., Kosorok, M.R., Huang, J., Xie, H., Manzella, L., and Bento Sores, M. Robust Semiparametric Microarray Normalization and Significance Analysis. Biometrics 62: 555-561, 2006.
For a further list of Dr. Ma ’s publications, please see PubMed.
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