Somnath Datta,
Professor
Department:
PHHP-COM BIOSTATISTICS
Business Phone:
(352) 294-5920
Business Email:
somnath.datta@ufl.edu
About Somnath Datta
Somnath Datta received his undergraduate and master’s degrees in statistics from Indian Statistical Institute followed by a doctoral degree in Statistics and Probability from Michigan State University. He joined the Department of Biostatistics at University of Florida as a tenured full professor in July of 2015 under the preeminence initiative. Prior to that, he was Professor in the Statistics department at the University of Georgia and in the Bioinformatics & Biostatistics department at the University of Louisville. Over the years, he published over one hundred and eighty research papers in various peer reviewed Statistics & Biostatistics journals and delivered over 100 invited talks at various national and international conferences. He developed novel statistical methods for analyzing public health, dental and biomedical data. His collaborative research interests include bioinformatics, spinal cord injury research, plant pathology and informatics-based materials science research. His research projects have been supported by grants from the US National Institutes of Health, the National Science Foundation, and the National Security Agency. He is Elected Member of International Statistical Institute, Elected Fellow of American Statistical Association, and Elected Fellow of Institute of Mathematical Statistics. He has served as a director/co-director of over 25 doctoral dissertation committees.
Related Links:
Accomplishments
CDC ATSDR 2019 Statistical Science Award: Best Theoretical Paper, “Multisample adjusted U-Statistics that account for confounding covariates.” Satten, G. A., Kong, Maiying, and Datta, Somnath. Statistics in Medicine, 37, 3357– 3372
2019
·
Centers for Disease Control and Prevention
President, International Indian Statistical Association (IISA)
2018
·
IISA
Dean’s Citation Paper Award, College of Public Health and Health Professions, University of Florida.
2017
·
College of Public Health and Health Professions, University of Florida.
Preeminence Hire in Genomic Medicine
2015
·
University of Florida
University Scholar
2014
·
University of Louisville
President's Distinguished Faculty Award in Research for Career Achievement
2013
·
University of Louisville
2010-2011 Faculty Favorite, “An Outstanding Professor Nominated by Students”
2011
·
Delphi Center for Teaching and Learning, University of Louisville.
CDC ATSDR 2011 Statistical Science Award: Best Theoretical Paper, “Inverse Probability of Censoring Weighted U-statistics for Right-Censored Data with an Application to Testing Hypotheses”, Datta, Somnath, Bandyopadhyay, Dipankar and Satten, Glen A., Scandinavian Journal of Statistics, 37, 680-700 (2010).
2011
·
CDC
Elected Fellow, Institute of Mathematical Statistics. Citation: “For contributions to compound decision theory, bootstrap inference for Markov chains and time series, survival analysis and counting processes, and biostatistics and bioinformatics; and for editorial services to the profession.”
2010
·
Institute of Mathematical Statistics.
Elected member, International Statistical Institute
2009
·
International Statistical Institute
Elected Fellow, American Statistical Association. Citation: “For outstanding research in theoretical and applied statistics including decision theory, bootstrap theory, survival analysis and analysis of microarray data.”
2006
·
American Statistical Association
CDC ATSDR 2005 Statistical Science Award: Best Application Paper, “Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens” by Satten, G. A., Datta, S., Moura, H., Woolfitt, A., Carvalho, G., De, B. K, Pavlopoulos, A., Carlone, G. M., and Barr, J., Bioinformatics, 20, 3128-3136 (2004).
2005
·
CDC
CDC ATSDR 2004 Statistical Science Award: Best Theoretical Paper, “Marginal analyses of clustered data when cluster size is informative” by Williamson, J. M., Datta, S. and Satten, G. A, Biometrics, 59, 36-42 (2003).
2004
·
CDC
CDC ATSDR 2001 Statistical Science Award: Best Theoretical Paper, “A simulate-update algorithm for missing data problems” by Satten, G. A. and Datta, S., Computational Statistics, 15, 243-277 (2000).
2001
·
CDC
CDC ATSDR 1999 Statistical Science Award: Best Theoretical Paper, “A semiparametric approach to the proportional hazards model for interval censored data”, by Satten, G. A. and Datta, S. and Williamson, J. M., Journal of the American Statistical Association, 93, 318-327 (1998).
1999
·
CDC
Teaching Profile
Courses Taught
2018-2025
PHC7980 Research for Doctoral Dissertation
2016-2018,2020-2025
PHC7979 Advanced Research
2016-2024
PHC7066 Large Sample Theory
Research Profile
I have received broad training in theoretical, as well as, applied and computational statistics and have published extensively in several areas of statistics and bioinformatics. In 2014, I co-edited a book on statistical analysis of next generation sequencing data which has been favorably reviewed (Biometrics 72, p. 1008). Over the years, I have collaborated with scientists and statisticians from the CDC in Atlanta, and with scientists and engineers and from UAB, CSIRO (Australia), U. of Iowa, Iowa State, UNC Chapel Hill, U. of Kentucky, U. of Louisville, and locally at U. of Florida. Besides serving as a PI on multiple NIH/NIDCR grants, I have had numerous federal PI level grants from CDC, NSA and NFS.
Open Researcher and Contributor ID (ORCID)
0000-0003-4381-1842
Areas of Interest
- Biostatistics
Publications
Academic Articles
2024
Bilateral Subdiaphragmatic Vagal Nerve Stimulation Using a Novel Waveform Decreases Body Weight, Food Consumption, Adiposity, and Activity in Obesity-Prone Rats.
Obesity surgery.
34(1):1-14
[DOI] 10.1007/s11695-023-06957-w.
[PMID] 38040984.
2024
Comparing two hazard curves when there is a treatment time‐lag effect
Statistics in Medicine.
43(19):3563-3577
[DOI] 10.1002/sim.10142.
2024
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values.
BMC bioinformatics.
25(1)
[DOI] 10.1186/s12859-024-05689-7.
[PMID] 38500042.
2024
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data
Bioinformatics.
40(1)
[DOI] 10.1093/bioinformatics/btad766.
[PMID] 38134422.
2023
A pseudo-value regression approach for differential network analysis of co-expression data.
BMC bioinformatics.
24(1)
[DOI] 10.1186/s12859-022-05123-w.
[PMID] 36624383.
2023
Adjusting for informative cluster size in pseudo‐value‐based regression approaches with clustered time to event data
Statistics in Medicine.
42(13):2162-2178
[DOI] 10.1002/sim.9716.
[PMID] 36973919.
2023
Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values.
ArXiv.
[PMID] 36994149.
2023
Executive function improvement in response to meta-cognitive training in chronic mTBI / PTSD.
Frontiers in rehabilitation sciences.
4
[DOI] 10.3389/fresc.2023.1189292.
[PMID] 37484602.
2023
Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis.
Frontiers in genetics.
14
[DOI] 10.3389/fgene.2023.1235927.
[PMID] 37662846.
2023
PRANA: an R package for differential co-expression network analysis with the presence of additional covariates.
BMC genomics.
24(1)
[DOI] 10.1186/s12864-023-09787-3.
[PMID] 37974076.
2021
A longitudinal Bayesian mixed effects model with hurdle Conway‐Maxwell‐Poisson distribution
Statistics in Medicine.
40(6):1336-1356
[DOI] 10.1002/sim.8844.
[PMID] 33368533.
2021
A novel probabilistic generator for large-scale gene association networks
PLOS ONE.
16(11)
[DOI] 10.1371/journal.pone.0259193.
[PMID] 34767561.
2021
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway-Maxwell-Poisson distribution.
Biometrical journal. Biometrische Zeitschrift.
63(4):761-786
[DOI] 10.1002/bimj.202000061.
[PMID] 33393147.
2021
Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies
Statistics in Medicine.
40(28):6410-6420
[DOI] 10.1002/sim.9190.
2021
Joint modeling of longitudinal data with informative cluster size adjusted for zero‐inflation and a dependent terminal event
Statistics in Medicine.
40(21):4582-4596
[DOI] 10.1002/sim.9081.
[PMID] 34057216.
2021
Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier.
Frontiers in genetics.
12
[DOI] 10.3389/fgene.2021.642282.
[PMID] 33959149.
2021
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data.
Journal of statistical software.
98(12)
[DOI] 10.18637/jss.v098.i12.
[PMID] 34321962.
2021
The Analysis of Gene Expression Data Incorporating Tumor Purity Information.
Frontiers in genetics.
12
[DOI] 10.3389/fgene.2021.642759.
[PMID] 34497631.
2021
Trajectories of stroke recovery of impairment, function, and quality of life in response to 12-month mobility and fitness intervention.
NeuroRehabilitation.
49(4):573-584
[DOI] 10.3233/NRE-210147.
[PMID] 34806625.
2020
Cerebral Metabolite Concentrations Are Associated With Cortical and Subcortical Volumes and Cognition in Older Adults.
Frontiers in aging neuroscience.
12
[DOI] 10.3389/fnagi.2020.587104.
[PMID] 33613261.
2020
Innovative Long-Dose Neurorehabilitation for Balance and Mobility in Chronic Stroke: A Preliminary Case Series.
Brain sciences.
10(8)
[DOI] 10.3390/brainsci10080555.
[PMID] 32824012.
2020
Selection of the optimal personalized treatment from multiple treatments with multivariate outcome measures.
Journal of biopharmaceutical statistics.
30(3):462-480
[DOI] 10.1080/10543406.2019.1684304.
[PMID] 31691633.
2020
Variance estimation in tests of clustered categorical data with informative cluster size
Statistical Methods in Medical Research.
29(11):3396-3408
[DOI] 10.1177/0962280220928572.
[PMID] 32513073.
2019
A joint overdispersed marginalized random-effects model for analyzing two or more longitudinal ordinal responses.
Statistical methods in medical research.
28(1):50-69
[DOI] 10.1177/0962280217714616.
[PMID] 28657455.
2019
A probability based method for selecting the optimal personalized treatment from multiple treatments.
Statistical methods in medical research.
28(3):749-760
[DOI] 10.1177/0962280217735701.
[PMID] 29145777.
2019
Adjustments of multi-Sample U-statistics to right censored data and confounding covariates
.
135:1-14
2019
Estimation of average treatment effects among multiple treatment groups by using an ensemble approach
Statistics in Medicine.
38(15):2828-2846
[DOI] 10.1002/sim.8146.
2019
Integrating gene regulatory pathways into differential network analysis of gene expression data.
Scientific reports.
9(1)
[DOI] 10.1038/s41598-019-41918-3.
[PMID] 30940863.
2019
Personalized treatment selection using data from crossover designs with carry‐over effects
Statistics in Medicine.
38(28):5391-5412
[DOI] 10.1002/sim.8372.
[PMID] 31637762.
2018
A Bayesian approach for analyzing zero‐inflated clustered count data with dispersion
Statistics in Medicine.
37(5):801-812
[DOI] 10.1002/sim.7541.
[PMID] 29108124.
2018
A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data.
IEEE/ACM transactions on computational biology and bioinformatics.
15(3):760-773
[DOI] 10.1109/TCBB.2017.2665495.
[PMID] 28186904.
2018
A log rank test for clustered data with informative within‐cluster group size
Statistics in Medicine.
37(27):4071-4082
[DOI] 10.1002/sim.7899.
[PMID] 30003565.
2018
A marginalized overdispersed location scale model for clustered ordinal data
.
80:S103-S134
2018
Analyzing clustered count data with a cluster specific random effect zero-inflated Conway-Maxwell-Poisson distribution.
Journal of applied statistics.
45(5):799-814
[DOI] 10.1080/02664763.2017.1312299.
[PMID] 31080303.
2018
Blood pressure signature genes and blood pressure response to thiazide diuretics: results from the PEAR and PEAR-2 studies.
BMC medical genomics.
11(1)
[DOI] 10.1186/s12920-018-0370-x.
[PMID] 29925376.
2018
Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data.
Lifetime data analysis.
24(3):464-491
[DOI] 10.1007/s10985-017-9403-6.
[PMID] 28819787.
2018
Inferring marginal association with paired and unpaired clustered data.
Statistical methods in medical research.
27(6):1806-1817
[DOI] 10.1177/0962280216669184.
[PMID] 27655806.
2018
Multisample adjusted U‐statistics that account for confounding covariates
Statistics in Medicine.
37(23):3357-3372
[DOI] 10.1002/sim.7825.
[PMID] 29923344.
2018
Predicting survival times for neuroblastoma patients using RNA-seq expression profiles.
Biology direct.
13(1)
[DOI] 10.1186/s13062-018-0213-x.
[PMID] 29848365.
2018
Rank‐based inference for covariate and group effects in clustered data in presence of informative intra‐cluster group size
Statistics in Medicine.
37(30):4807-4822
[DOI] 10.1002/sim.7979.
2018
Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles.
Biology direct.
13(1)
[DOI] 10.1186/s13062-018-0215-8.
[PMID] 29789016.
2017
EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experiments.
PloS one.
12(10)
[DOI] 10.1371/journal.pone.0187287.
[PMID] 29088275.
2017
Empirical Bayesian Geographical Mapping of Occupational Accidents among Iranian Workers.
Archives of Iranian medicine.
20(5):302-307
[PMID] 28510466.
2017
Non-parametric regression in clustered multistate current status data with informative cluster size.
Statistica Neerlandica.
71(1):31-57
[DOI] 10.1111/stan.12099.
[PMID] 28798498.
2017
optCluster: An R Package for Determining the Optimal Clustering Algorithm.
Bioinformation.
13(3):101-103
[DOI] 10.6026/97320630013101.
[PMID] 28584451.
2017
Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study.
Biometrical journal. Biometrische Zeitschrift.
59(5):967-985
[DOI] 10.1002/bimj.201600094.
[PMID] 28436047.
2017
Temporal Prediction of Future State Occupation in a Multistate Model from High-Dimensional Baseline Covariates via Pseudo-Value Regression.
Journal of statistical computation and simulation.
87(7):1363-1378
[DOI] 10.1080/00949655.2016.1263992.
[PMID] 29217870.
2017
Tests for informative cluster size using a novel balanced bootstrap scheme.
Statistics in medicine.
36(16):2630-2640
[DOI] 10.1002/sim.7288.
[PMID] 28324913.
2017
Whole Transcriptome Sequencing Analyses Reveal Molecular Markers of Blood Pressure Response to Thiazide Diuretics.
Scientific reports.
7(1)
[DOI] 10.1038/s41598-017-16343-z.
[PMID] 29167564.
2016
A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative.
Biometrics.
72(2):432-40
[DOI] 10.1111/biom.12447.
[PMID] 26575695.
2016
Applications of feature selection and regression techniques in materials design: A Tutorial
.
224-251
2016
Cluster adjusted regression for displaced subject data (CARDS): Marginal inference under potentially informative temporal cluster size profiles.
Biometrics.
72(2):441-51
[DOI] 10.1111/biom.12456.
[PMID] 26682911.
2016
Exploring the importance of cancer pathways by meta-analysis of differential protein expression networks in three different cancers.
Biology direct.
11(1)
[PMID] 27993151.
2016
Inter-platform concordance of gene expression data for the prediction of chemical mode of action.
Biology direct.
11(1)
[PMID] 27993158.
2016
Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applications.
Biometrics.
72(2):606-18
[DOI] 10.1111/biom.12436.
[PMID] 26575079.
2015
GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries.
Computational statistics & data analysis.
85:54-66
[PMID] 25620827.
2014
Differential network analysis in human cancer research.
Current pharmaceutical design.
20(1):4-10
[PMID] 23530503.
2014
dna: An R package for differential network analysis.
Bioinformation.
10(4):233-4
[DOI] 10.6026/97320630010233.
[PMID] 24966526.
2014
Inference on the marginal distribution of clustered data with informative cluster size.
Statistical papers (Berlin, Germany).
55(1):71-92
[PMID] 25878396.
2014
Informatics guided discovery of surface structure-chemistry relationships in catalytic nanoparticles.
The Journal of chemical physics.
140(9)
[DOI] 10.1063/1.4867010.
[PMID] 24606374.
2014
Informatics-aided band gap engineering for solar materials
Computational Materials Science.
83:185-195
2014
Robust estimation of marginal regression parameters in clustered data.
Statistical modelling.
14(6):489-501
[PMID] 25848345.
2013
Cluster analysis: Finding groups in data
.
53-70
2013
Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right-censored data.
Statistics in medicine.
32(17):3006-19
[DOI] 10.1002/sim.5703.
[PMID] 23225570.
2013
svapls: an R package to correct for hidden factors of variability in gene expression studies.
BMC bioinformatics.
14
[DOI] 10.1186/1471-2105-14-236.
[PMID] 23883280.
2012
A General Class of Signed Rank Tests for Clustered Data when the Cluster Size is Potentially Informative.
Journal of nonparametric statistics.
24(3):797-808
[PMID] 23074359.
2012
Ambulation and balance outcomes measure different aspects of recovery in individuals with chronic, incomplete spinal cord injury.
Archives of physical medicine and rehabilitation.
93(9):1553-64
[DOI] 10.1016/j.apmr.2011.08.051.
[PMID] 22920452.
2012
Dynamic longitudinal evaluation of the utility of the Berg Balance Scale in individuals with motor incomplete spinal cord injury.
Archives of physical medicine and rehabilitation.
93(9):1565-73
[DOI] 10.1016/j.apmr.2012.01.026.
[PMID] 22920453.
2012
Longitudinal patterns of functional recovery in patients with incomplete spinal cord injury receiving activity-based rehabilitation.
Archives of physical medicine and rehabilitation.
93(9):1541-52
[DOI] 10.1016/j.apmr.2012.01.027.
[PMID] 22920451.
2012
Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies.
Bioinformatics (Oxford, England).
28(6):799-806
[DOI] 10.1093/bioinformatics/bts022.
[PMID] 22238271.
2011
Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes.
Statistical methods in medical research.
20(4):347-67
[DOI] 10.1177/0962280209347043.
[PMID] 20223781.
2011
Marginal association measures for clustered data.
Statistics in medicine.
30(27):3181-91
[DOI] 10.1002/sim.4368.
[PMID] 21953204.
2011
Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic data.
Bioinformation.
6(3):120-4
[PMID] 21584188.
2010
A statistical framework for differential network analysis from microarray data.
BMC bioinformatics.
11
[DOI] 10.1186/1471-2105-11-95.
[PMID] 20170493.
2010
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data.
BMC bioinformatics.
11
[DOI] 10.1186/1471-2105-11-427.
[PMID] 20716381.
2010
Comparison of state occupation, entry, exit and waiting times in two or more groups based on current status data in a multistate model.
Statistics in medicine.
29(7-8):906-14
[DOI] 10.1002/sim.3803.
[PMID] 20213707.
2010
Non-parametric estimation of state occupation, entry and exit times with multistate current status data.
Statistical methods in medical research.
19(2):147-65
[DOI] 10.1177/0962280208094278.
[PMID] 18765503.
2010
Statistical Analyses of Next Generation Sequence Data: A Partial Overview.
Journal of proteomics & bioinformatics.
3(6):183-190
[PMID] 21113236.
2009
A multivariate examination of temporal changes in Berg Balance Scale items for patients with ASIA Impairment Scale C and D spinal cord injuries.
Archives of physical medicine and rehabilitation.
90(7):1208-17
[DOI] 10.1016/j.apmr.2008.09.577.
[PMID] 19577035.
2009
Computational biology touches all bases. A report of the 6th Annual Rocky Mountain Bioinformatics Conference, Aspen, USA, 4-7 December 2008.
Genome biology.
10(2)
[DOI] 10.1186/gb-2009-10-2-303.
[PMID] 19232078.
2009
RankAggreg, an R package for weighted rank aggregation.
BMC bioinformatics.
10
[DOI] 10.1186/1471-2105-10-62.
[PMID] 19228411.
2008
A signed-rank test for clustered data.
Biometrics.
64(2):501-7
[PMID] 17970820.
2008
clValid, an R package for cluster validation
Journal of Statistical Software.
25(4)
2008
Finding common genes in multiple cancer types through meta-analysis of microarray experiments: a rank aggregation approach.
Genomics.
92(6):400-3
[DOI] 10.1016/j.ygeno.2008.05.003.
[PMID] 18565726.
2008
Reconstruction of genetic association networks from microarray data: a partial least squares approach.
Bioinformatics (Oxford, England).
24(4):561-8
[DOI] 10.1093/bioinformatics/btm640.
[PMID] 18204062.
2008
Testing Equality of Survival Distributions when the Population Marks are Missing.
Journal of statistical planning and inference.
138(6):1722-1732
[PMID] 19844606.
2007
Incorporation of biological knowledge into distance for clustering genes.
Bioinformation.
1(10):396-405
[PMID] 17597929.
2007
Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO.
Biometrics.
63(1):259-71
[PMID] 17447952.
2007
Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
Bioinformatics (Oxford, England).
23(13):1607-15
[PMID] 17483500.
2006
Biologically supervised hierarchical clustering algorithms for gene expression data.
Conference proceedings : … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2006:5515-8
[PMID] 17947147.
2006
Evaluation of clustering algorithms for gene expression data.
BMC bioinformatics.
7 Suppl 4(Suppl 4)
[PMID] 17217509.
2006
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.
BMC bioinformatics.
7
[PMID] 16945146.
2006
Nonparametric estimation of stage occupation probabilities in a multistage model with current status data.
Biometrics.
62(3):829-37
[PMID] 16984326.
2005
Empirical Bayes screening of many p-values with applications to microarray studies.
Bioinformatics (Oxford, England).
21(9):1987-94
[PMID] 15691856.
2005
Rank-sum tests for clustered data
Journal of the American Statistical Association.
100:908-915
2004
An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
Bioinformatics (Oxford, England).
20(2):235-42
[PMID] 14734315.
2004
Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens.
Bioinformatics (Oxford, England).
20(17):3128-36
[PMID] 15217815.
2003
Comparisons and validation of statistical clustering techniques for microarray gene expression data.
Bioinformatics (Oxford, England).
19(4):459-66
[PMID] 12611800.
2003
Marginal analyses of clustered data when cluster size is informative.
Biometrics.
59(1):36-42
[PMID] 12762439.
2002
Estimation of integrated transition hazards and stage occupation probabilities for non-Markov systems under dependent censoring.
Biometrics.
58(4):792-802
[PMID] 12495133.
2002
Marginal estimation for multi-stage models: waiting time distributions and competing risks analyses.
Statistics in medicine.
21(1):3-19
[PMID] 11782047.
2001
The Kaplan-Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average.
The American statistician.
55(3):207-210
[DOI] 10.1198/000313001317098185.
[PMID] 28845048.
1991
On the consistency of posterior mixtures and its application
Annals of Statistics.
19:338-353
Presentations
2023-05-25
Regression analysis of a future state entry time distribution conditional on a past state occupation under right censoring and current status data
International
/
Invited.
Paper.
Online
2023-03-20
Marginal models for clustered data and the issue of informative cluster and subgroup sizes
International
/
Invited.
Paper.
Mumbai, India
2022-12-26
Marginal models for clustered data and the issue of informative cluster and subgroup sizes
International
/
Invited.
Paper.
Bengaluru, India
2022-08-12
Regression analysis of a future state entry time distribution conditional on a past state occupation
International
/
Invited.
Paper.
Online
2024-01-04
A pseudo-value regression approach for differential network analysis of co-expression data
International
/
Invited.
Symposium.
Australia
2024-06-01
Regression Analysis of a Future State Entry Time Distribution Conditional on a Past State Occupation in a Progressive Multistate Model
National
/
Invited.
Symposium.
Raleigh, North Carolina, USA.
2024-06-03
Differential co-abundance network analyses for microbiome data adjusted for clinical covariates using jackknife pseudo-values
International
/
Invited.
Symposium.
Lima, Peru
2024-07-09
Specialized Statistical Analyses of Iowa Fluoride Study Data
International
/
Invited.
Workshop.
Salzburg, Austria
Grants
Mar 2024
ACTIVE
WISE II – Obesity and Type-2 Diabetes: Bariatric Surgery Effects on Brain Function
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDDK
Sep 2023
ACTIVE
IPA – Sarkar – Malcom Randall Veterans Affairs Medical Center & UF
Role: Other
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
May 2022
– Apr 2023
Statistical Innovation in the Era of Artificial Intelligence and Data Science
Role: Co-Project Director/Principal Investigator
Funding: NATL SCIENCE FOU
Feb 2022
ACTIVE
Longitudinal Analysis of Iowa Fluoride Study Data, Including at Age Twenty-three
Role: Principal Investigator
Funding: NATL INST OF HLTH NIDCR
Oct 2020
ACTIVE
VA IPA_FY21_ Somnath Datta
Role: Principal Investigator
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Sep 2020
– Aug 2023
FY21 VA IPA Anyaso-Samuel
Role: Other
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Sep 2019
– Aug 2020
VA IPA – Tyler Grimes
Role: Other
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Sep 2019
– Jun 2020
VA IPA_FY20_ Somnath Datta
Role: Principal Investigator
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Sep 2018
– Aug 2019
VA IPA- Tyler Grimes
Role: Other
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Sep 2018
– Aug 2019
VA IPA_FY19_ Somnath Datta
Role: Principal Investigator
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Aug 2018
– Jan 2022
A Novel Analysis Plan for the Caries and Fluorosis Data from the Iowa Fluoride Study
Role: Principal Investigator
Funding: NATL INST OF HLTH NIDCR
Apr 2018
– Mar 2020
IISA 2018: From Data to Knowledge, Working for a Better World
Role: Principal Investigator
Funding: NATL SCIENCE FOU
Sep 2017
– Aug 2018
VA IPA- Datta Yr. 2
Role: Principal Investigator
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Aug 2017
– Nov 2023
Optimizing AAV Vectors for Central Nervous System transduction
Role: Co-Investigator
Funding: NATL INST OF HLTH NINDS
Apr 2017
– Mar 2018
STATISTICAL INFERENCE FOR BIOMEDICAL BIG DATA: THEORY, METHODS AND TOOLS
Role: Co-Investigator
Funding: NATL SCIENCE FOU
Mar 2017
– Feb 2019
Interactions between microglia and dopaminergic neurons regulates dopamine neurotransmission
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDA
Sep 2016
– Aug 2017
VA IPA- Datta
Role: Principal Investigator
Funding: US DEPT OF VET AFF GAINESVILLE MED CTR
Aug 2016
– Jul 2020
Exploratory Statistical Analysis of Differential Network Behaviors Based on Gene Expression Atlas of Palate Development
Role: Principal Investigator
Funding: NATL INST OF HLTH NIDCR
Education
PhD
1988
·
Michigan State University, East Lansing
Contact Details
Phones:
- Business:
- (352) 294-5920
Emails:
- Business:
- somnath.datta@ufl.edu
Addresses:
- Business Mailing:
-
PO BOX 117450
GAINESVILLE FL 326110001 - Business Street:
-
CTRB
2004 MOWRY RD., 5TH FLR.
DEPARTMENT OF BIOSTATISTICS
GAINESVILLE FL 32610