Public Health and Health Professions
Somnath Datta Lab
Led by Somnath Datta · Biostatistics
What we study
The lab develops statistical methods for analyzing public health, dental, and biomedical data, often collaborating with researchers across disciplines.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Assessing marginal associations between dental caries and periodontal diseases and their determinants in cross-sectional studies
Analyzing dental and periodontal disease data to identify risk factors.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Nonparametric estimation of a state entry time distribution conditional on a “past” state occupation in a progressive multistate model with current status data
2026 · Lifetime Data Analysis
- A Novel Bioinformatics Pipeline and a Machine-Learning Approach for Antimicrobial Resistance Phenotypic Prediction
2026 · Bioinformatics and Biology Insights
Created a tool to predict antibiotic resistance from global DNA samples, using machine learning.
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- Unpacking X (formerly Twitter) discourse on fluoride and related topics during the 2024 US presidential election
2026 · The Journal of the American Dental Association
- Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs
2025 · Statistics in Medicine
Tests whether unit sizes in three-level designs affect results, using a bootstrap method.
- Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data
2025 · Statistics in Medicine
Developed a way to combine different methods for grouping single-cell gene data.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Somnath Datta hasn't set up this page yet. Their UF Scholars profile lists their publications.