Latest:

Disparities in Survival due to Social Determinants of Health and Access to Treatment in Operable Malignant Pleural Mesothelioma in the United States

A. Alnajar, S.A. Karen, S.S. Razi, J.S. Rao, K. Gawri, G.D. Lopes, D.M. Nguyen, N. Vllamizar and E. Rodriguez
JAMA Open Network (to appear)
Black and white portrait of J. Sunil Rao

J. Sunil Rao's interests are in applied statistics, biostatistics, small area estimation and machine learning. His current research focuses on cancer, health disparities and opioid relapse. He has also developed software packages with various students and collaborators.

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Research Interests:

High throughput cancer genomic data modeling;
Health disparity estimation;
Opioid relapse prediction;
Machine learning;
High dimensional modeling; Bayesian model selection; Mixed model selection
and prediction;
Small area estimation; Bump/mode hunting;
Robust estimation;
Precision medicine;
Modeling of
pharmacogenomic data

Highlighted

Software Sites

BAMarray

A statistical technique for detecting differentially expressing genes from microarray data using Bayesian ANOVA

Fence Methods

A class of strategies for selection of fixed and random factors in linear and generalized linear mixed models
MOst Recent

Publications and Articles

Article

Partially Recursively Induced Structured Moderation (PRISM) for modeling racial differences in endometrial cancer survival

J.S. Rao, E. Kobetz, H. Yu, J. Baeker-Bispo and Z. Bailey
PLOS ONE
PDF
Article

Novel spatial two-fold modeling of perimetric rates of change using glaucomatous population data

Z. Chen, Z., J.S. Rao, and S. Swaminathan
Article

A formal framework for knowledge acquisition: Going beyond machine learning

O. Hossjer, D.A. Diaz-Pachon and J.S. Rao
Entropy
LINK
J. Sunil Rao, Ph.D.

Professor, Division of Biostatistics
School of Public Health
Director of Biostatistics, Masonic Cancer Center
University of Minnesota, Twin Cities


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