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


Software Sites


Implements a unified treatment of the “Bump Hunting” task in high-dimensional space.
MOst Recent

Publications and Articles


Correcting prevalence estimation from biased samples with testing errors

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

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)

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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