Somnath Datta

PROFESSOR

University of Florida

United States

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About

Somnath Datta is a Professor at the University of Florida, USA. His research interests include statistical methodologies in health outcomes, regression analysis of multivariate data, and personalized treatment selection. He has published various articles on topics such as the analysis of bacteriophages related to antimicrobial resistance and the statistical assessment of dental fluorosis data.

Articles (15)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Jeremy Gaskins

University of Louisville

UNITED STATES

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Doug Lorenz

Associate Professor

University of Louisville

UNITED STATES

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Peihua Qiu

University of Florida

UNITED STATES

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Jaakko Nevalainen

University of Tampere

FINLAND

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Somnath Datta

Research Interests

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Articles (15)

Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs

Comparing two hazard curves when there is a treatment time‐lag effect

Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors

Testing for marginal covariate effect when the subgroup size induced by the covariate is informative

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data

Pseudo-value regression of clustered multistate current status data with informative cluster sizes

Adjusting for informative cluster size in pseudo‐value‐based regression approaches with clustered time to event data

Analyzing dental fluorosis data using a novel Bayesian model for clustered longitudinal ordinal outcomes with an inflated category

Selection of the optimal personalized treatment from multiple treatments with right-censored multivariate outcome measures

Regression analysis of a future state entry time distribution conditional on a past state occupation in a progressive multistate model

Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies

A novel probabilistic generator for large-scale gene association networks

Joint modeling of longitudinal data with informative cluster size adjusted for zero‐inflation and a dependent terminal event

A longitudinal Bayesian mixed effects model with hurdle Conway‐Maxwell‐Poisson distribution

Variance estimation in tests of clustered categorical data with informative cluster size

Collaborators (4)

Jeremy Gaskins

Doug Lorenz

Peihua Qiu

Jaakko Nevalainen

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