Latest:

Improved prediction of perimetric loss in glaucomatous eyes using latent class mixed modeling

S.S. Swaminathan, A.A. Jammal, J.S. Rao and F.A. Mederios

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

Correcting prevalence estimation from biased samples with testing errors

L. Zhou, D. Diaz-Pachon, Z. Chen and J.S. Rao
LINK
Publication

Mode Hunting using Pettiest Components Analysis

T. Liu, D. Diaz, J.S. Rao and J.E. Dazard
(to appear in IEEE Transactions On Pattern Analysis and Machine Intelligence)
LINK
Article

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
J. Sunil Rao, Ph.D.

Professor and Director, Division of Biostatistics
Miller School of Medicine, University of Miami


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