S. Datta

发表

Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes

Somnath Datta, Ming Wang, Maiying Kong, 2011, Statistical methods in medical research.

Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles

S. Datta, S. Datta, A. R. Walker, 2018, Biology Direct.

A Note on Bootstrapping M‐Estimators in ARMA Models

S. Datta, Michael R. Allen, 1999 .

On asymptotic properties of bootstrap for AR(1) processes

S. Datta, 1996 .

On a modified bootstrap for certain asymptotically nonnormal statistics

S. Datta, 1995 .

Regeneration-based bootstrap for Markov chains

W. McCormick, S. Datta, 1993 .

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

Susmita Datta, Somnath Datta, Tyler Grimes, 2018, Biology Direct.

Estimating the marginal survival function in the presence of time dependent covariates

James M. Robins, Somnath Datta, Glen A. Satten, 2001 .

Rank-Sum Tests for Clustered Data

Somnath Datta, Glen A. Satten, G. Satten, 2005 .

Finding common genes in multiple cancer types through meta-analysis of microarray experiments: a rank aggregation approach.

Susmita Datta, Somnath Datta, S. Datta, 2008, Genomics.

Dynamic longitudinal evaluation of the utility of the Berg Balance Scale in individuals with motor incomplete spinal cord injury.

Somnath Datta, Susan J Harkema, S. Harkema, 2012, Archives of physical medicine and rehabilitation.

Informatics guided discovery of surface structure-chemistry relationships in catalytic nanoparticles.

Somnath Datta, Madhu Menon, Scott Broderick, 2014, The Journal of chemical physics.

Exploring the importance of cancer pathways by meta-analysis of differential protein expression networks in three different cancers

S. Datta, S. Datta, S. Sikdar, 2016, Biology Direct.

Validity of the Aalen–Johansen estimators of stage occupation probabilities and Nelson–Aalen estimators of integrated transition hazards for non-Markov models

Somnath Datta, Glen A. Satten, G. Satten, 2001 .

Non‐parametric regression in clustered multistate current status data with informative cluster size

Somnath Datta, Dipankar Bandyopadhyay, Ling Lan, 2017, Statistica Neerlandica.

msSurv: An R Package for Nonparametric Estimation of Multistate Models

Somnath Datta, Guy N. Brock, Nicole Ferguson, 2012 .

Nonparametric estimation of waiting time distributions in a Markov model based on current status data

R. Sundaram, S. Datta, L. Lan, 2009 .

An integrative exploratory analysis of –omics data from the ICGC cancer genomes lung adenocarcinoma study

S. Datta, S. Datta, R. Gill, 2014 .

Rank‐based inference for covariate and group effects in clustered data in presence of informative intra‐cluster group size

S. Datta, S. Dutta, 2018, Statistics in medicine.

A general class of signed-rank tests for clustered data when the cluster size is potentially informative

J. Nevalainen, H. Oja, S. Datta, 2012, Journal of nonparametric statistics.

A Marginalized Overdispersed Location Scale Model for Clustered Ordinal Data

A. Kazemnejad, S. Datta, Nasim Vahabi, 2018, Sankhya B.

Estimating future stage entry and occupation probabilities in a multistage model based on randomly right-censored data

G. Satten, S. Datta, 2000 .

Multisample adjusted U‐statistics that account for confounding covariates

G. Satten, S. Datta, M. Kong, 2018, Statistics in medicine.

Robust estimation of marginal regression parameters in clustered data

J. Beck, S. Datta, 2014, Statistical Modelling.

Multipole expansion of the interaction hamiltonian between a charged particle and a non-uniform magnetic field

S. Datta, 1984 .

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

S. Datta, C. Siriwardhana, K. Kulasekera, 2020, Journal of biopharmaceutical statistics.

Personalized Plans with Multiple Treatments

S. Datta, Meng Zhao, C. Siriwardhana, 2015 .

Personalized Treatment Plans with Multivariate Outcome Measures

S. Datta, C. Siriwardhana, K. Kulasekera, 2015 .

Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect

S. Datta, M. Kong, D. Conklin, 2015, Journal of statistical computation and simulation.

A zero-inflated Bayesian nonparametric approach for identifying differentially abundant taxa in multigroup microbiome data with covariates

Subharup Guha, S. Datta, Archie Sachdeva, 2022, 2206.10108.

A log rank test for clustered data with informative within‐cluster group size

S. Datta, D. Lorenz, Mary E Gregg, 2018, Statistics in medicine.

BIOINFORMATICS Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies

S. Datta, S. Datta, Sutirtha Chakraborty, 2012 .

A zero-inflated Bayesian nonparametric approach for identifying differentially abundant taxa in multigroup microbiome data with covariates

Subharup Guha, S. Datta, Archie Sachdeva, 2022, 2206.10108.

Some continuous edgeworth expansions for Markov chains with applications to bootstrap

W. McCormick, S. Datta, 1995 .

Analysis of Dynamic Cohort Data Analysis of Dynamic Cohort Data

G. Satten, S. Datta, J. Williamson, 2001 .

Inter-platform concordance of gene expression data for the prediction of chemical mode of action

S. Datta, S. Datta, C. Siriwardhana, 2016, Biology Direct.

Selection of the Optimal Personalized Treatment from Multiple Treatments with Right-censored Multivariate Outcome Measures

S. Datta, C. Siriwardhana, K. Kulasekera, 2022, 2209.15068.

Approximate U-Statistics for State Waiting Times Under Right Censoring

S. Datta, S. Datta, D. Lorenz, 2015 .

Tests for informative cluster size using a novel balanced bootstrap scheme

J. Nevalainen, H. Oja, S. Datta, 2017, Statistics in medicine.

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

S. Datta, D. Lorenz, Mary E Gregg, 2020, Statistical methods in medical research.

A pseudo-value regression approach for differential network analysis of co-expression data

S. Datta, T. Grimes, Seung-shin Ahn, 2022, BMC Bioinformatics.

A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics

S. Datta, S. Datta, Jasmit S. Shah, 2014, Computational Statistics.

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

D. Bandyopadhyay, S. Datta, Samuel Anyaso-Samuel, 2022, 2211.10839.

Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model

S. Datta, Luís Meira-Machado, J. de Uña-Álvarez, 2014, Computational Statistics.

Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data

S. Datta, C. Siriwardhana, K. Kulasekera, 2017, Lifetime Data Analysis.

optCluster: An R Package for Determining the Optimal Clustering Algorithm

Susmita Datta, Somnath Datta, Michael Sekula, 2017, Bioinformation.

clValid , an R package for cluster validation

Guy N. Brock, Vasyl Pihur, Susmita Datta, 2008 .

Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach

Vasyl Pihur, Susmita Datta, Somnath Datta, 2007, Bioinform..

Evaluation of clustering algorithms for gene expression data

Susmita Datta, Somnath Datta, S. Datta, 2006, BMC Bioinformatics.

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes

Susmita Datta, Somnath Datta, M. Bodén, 2006, BMC Bioinformatics.

Validation Measures for Clustering Algorithms Incorporating Biological Information

Susmita Datta, Somnath Datta, S. Datta, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

Comparisons and validation of statistical clustering techniques for microarray gene expression data

Susmita Datta, Somnath Datta, S. Datta, 2003, Bioinform..

Predicting Patient Survival from Microarray Data by Accelerated Failure Time Modeling Using Partial Least Squares and LASSO

Susmita Datta, Somnath Datta, Jennifer Le-Rademacher, 2007, Biometrics.

Empirical Bayes screening of many p-values with applications to microarray studies

Susmita Datta, Somnath Datta, S. Datta, 2005, Bioinform..

How will plant pathogens adapt to host plant resistance at elevated CO2 under a changing climate?

S. Chakraborty, S. Datta, 2003, The New phytologist.

Informatics-aided bandgap engineering for solar materials

Somnath Datta, Mahendra K. Sunkara, Jacek B. Jasinski, 2014 .

Statistical Analyses of Next Generation Sequencing Data: An Overview

S. Datta, R. Mitra, S. Datta, 2014 .

Statistical Analyses of Next Generation Sequence Data: A Partial Overview.

Susmita Datta, Somnath Datta, Seongho Kim, 2010, Journal of proteomics & bioinformatics.

EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experiments

Susmita Datta, Sinjini Sikdar, Somnath Datta, 2017, PloS one.

A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data

Susmita Datta, Somnath Datta, Jaakko Nevalainen, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies

Susmita Datta, Somnath Datta, Sutirtha Chakraborty, 2012, Bioinform..

Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens

Somnath Datta, George M. Carlone, Glen A. Satten, 2004, Bioinform..

Marginal Analyses of Clustered Data When Cluster Size Is Informative

Somnath Datta, Glen A Satten, G. Satten, 2003, Biometrics.

The Analysis of Gene Expression Data Incorporating Tumor Purity Information

S. Datta, Seungjun Ahn, T. Grimes, 2021, Frontiers in Genetics.

Nonparametric Regression of State Occupation Probabilities in a Multistate Model

S. Datta, S. Datta, Sutirtha Chakraborty, 2017 .

Nonparametric Estimation of Stage Occupation Probabilities in a Multistage Model with Current Status Data

R. Sundaram, S. Datta, 2006, Biometrics.

SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data

Somnath Datta, Tyler Grimes, S. Datta, 2021, J. Stat. Softw..

Bootstrap Inference for a First-Order Autoregression with Positive Innovations

Somnath Datta, William P. McCormick, W. McCormick, 1995 .

Estimation of Integrated Transition Hazards and Stage Occupation Probabilities for Non‐Markov Systems Under Dependent Censoring

G. Satten, S. Datta, 2002, Biometrics.

Differential network analysis in human cancer research.

Susmita Datta, Somnath Datta, Ryan Gill, 2014, Current pharmaceutical design.

A novel probabilistic generator for large-scale gene association networks

S. Datta, T. Grimes, Somnath Datta, 2021, PloS one.

Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model

Luís Meira-Machado, Somnath Datta, Jacobo Uña-Álvarez, 2014, Computational Statistics.

Non-parametric estimation of state occupation, entry and exit times with multistate current status data

S. Datta, Ling Lan, 2010, Statistical methods in medical research.

A Bootstrap Approach to Nonparametric Regression for Right Censored Data

Somnath Datta, Gang Li, Gang Li, 2001 .

Comparing waiting times in a multi-stage model: A log-rank approach

S. Datta, D. Lorenz, 2012 .

Estimating the mean life time using right censored data

Somnath Datta, S. Datta, 2005 .

The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average

Somnath Datta, Glen A Satten, G. Satten, 2001, The American statistician.

Empirical bayes estimation with non-identical components

S. Datta, 2000 .

Inverse Probability of Censoring Weighted U‐statistics for Right‐Censored Data with an Application to Testing Hypotheses

G. Satten, D. Bandyopadhyay, S. Datta, 2010 .

Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data

Somnath Datta, K B Kulasekera, Chathura Siriwardhana, 2017, Lifetime Data Analysis.

Nonparametric regression of state occupation, entry, exit, and waiting times with multistate right‐censored data

S. Datta, F. Mostajabi, 2013, Statistics in medicine.

An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments

Susmita Datta, Somnath Datta, Glen A. Satten, 2004, Bioinform..

CONSISTENCY OF THE MLE FOR A GENERAL SEQUENTIAL DESIGN PROBLEM

Somnath Datta, S. Datta, 1995 .

Marginal association measures for clustered data

Somnath Datta, Susan J Harkema, S. Harkema, 2011, Statistics in medicine.

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

V. Chinchilli, S. Datta, Danping Liu, 2021, Statistics in medicine.

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

S. Datta, Samuel Anyaso-Samuel, 2022, Statistics in medicine.

Inferring marginal association with paired and unpaired clustered data

S. Levy, S. Datta, D. Lorenz, 2018, Statistical methods in medical research.

Cluster adjusted regression for displaced subject data (CARDS): Marginal inference under potentially informative temporal cluster size profiles

S. Datta, Joe Bible, J. D. Beck, 2016, Biometrics.

A rank‐sum test for clustered data when the number of subjects in a group within a cluster is informative

S. Datta, S. Dutta, 2016, Biometrics.

Inference on the marginal distribution of clustered data with informative cluster size

Hannu Oja, Somnath Datta, Jaakko Nevalainen, 2014, Statistical papers.

Inference on the marginal distribution of clustered data with informative cluster size

J. Nevalainen, H. Oja, S. Datta, 2013, Statistical Papers.

Ambulation and balance outcomes measure different aspects of recovery in individuals with chronic, incomplete spinal cord injury.

S. Harkema, D. Lorenz, G. Forrest, 2012, Archives of physical medicine and rehabilitation.

Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size

Somnath Datta, Jie Fan, S. Datta, 2011, Comput. Stat. Data Anal..

A multivariate examination of temporal changes in Berg Balance Scale items for patients with ASIA Impairment Scale C and D spinal cord injuries.

S. Harkema, S. Morrison, D. Lorenz, 2009, Archives of physical medicine and rehabilitation.

A Signed‐Rank Test for Clustered Data

Somnath Datta, Glen A Satten, G. Satten, 2008, Biometrics.

Empirical Bayesian Geographical Mapping of Occupational Accidents among Iranian Workers.

A. Kazemnejad, S. Datta, Nasim Vahabi, 2017, Archives of Iranian medicine.

Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values

S. Datta, Seungjun Ahn, 2023, BMC Bioinform..

Reconstruction of genetic association networks from microarray data: a partial least squares approach

Vasyl Pihur, Susmita Datta, Somnath Datta, 2008, Bioinform..

Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier

Subharup Guha, S. Datta, Archie Sachdeva, 2021, Frontiers in Genetics.

Bioinformatics Pre-Processing of Microbiome Data with An Application to Metagenomic Forensics

Subharup Guha, S. Datta, Archie Sachdeva, 2021, Statistical Analysis of Microbiome Data.

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

J. Ilonen, S. Virtanen, M. Knip, 2021, Statistics in medicine.

Statistical analysis of next generation sequencing date

Somnath Datta, Dan Nettleton, D. Nettleton, 2014 .

A statistical framework for differential network analysis from microarray data

Susmita Datta, Somnath Datta, Ryan Gill, 2010, BMC Bioinformatics.

Relativistic Rocket , Its Equation of Motion and Solution for two Special Cases

S. Datta, 2019 .

Limit theory and bootstrap for explosive and partially explosive autoregression

Somnath Datta, S. Datta, 1995 .

Classification of Breast Cancer versus Normal Samples from Mass Spectrometry Profiles Using Linear Discriminant Analysis of Important Features Selected by Random Forest

Somnath Datta, S. Datta, 2008, Statistical applications in genetics and molecular biology.

RankAggreg, an R package for weighted rank aggregation

Vasyl Pihur, Susmita Datta, Somnath Datta, 2009, BMC Bioinformatics.

One sample goodness of fit tests in presence of shape restrictions on the hazard rate function

Somnath Datta, Desale Habtzghi, S. Datta, 2012, Sankhya B.

Nonlinear Autoregression with Positive Innovations

W. McCormick, S. Datta, G. Mathew, 1998 .

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

S. Levy, S. Datta, J. Gaskins, 2020, Statistics in medicine.

Validating Marker‐Based Incidence Estimates in Repeatedly Screened Populations

G. Satten, M. Busch, S. Datta, 1999, Biometrics.

A minimax optimal estimator for continuous monotone densities

S. Datta, 1995 .

Some Nonasymptotic Bounds for $L_1$ Density Estimation using Kernels

S. Datta, 1992 .

Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study

Susmita Datta, Somnath Datta, Farida Mostajabi, 2013, Commun. Stat. Simul. Comput..

Longitudinal patterns of functional recovery in patients with incomplete spinal cord injury receiving activity-based rehabilitation.

S. Harkema, D. Lorenz, S. Datta, 2012, Archives of physical medicine and rehabilitation.

Robust Regression Analysis of Longitudinal Data under Censoring

S. Datta, 2017 .

NONPARAMETRIC EMPIRICAL BAYES ESTIMATION WITH O(n-1/2) RATE OF A TRUNCATION PARAMETER

S. Datta, 1991 .

Electric and Magnetic Fields from a Circular Coil Using Elliptic Integrals

Somnath Datta, S. Datta, 2007 .

Estimation of the index parameter for autoregressive data using the estimated innovations

S. Datta, Michael R. Allen, 1999 .

A joint overdispersed marginalized random-effects model for analyzing two or more longitudinal ordinal responses

A. Kazemnejad, S. Datta, Nasim Vahabi, 2019, Statistical methods in medical research.

Personalized treatment selection using data from crossover designs with carry‐over effects

Chathura Siriwardhana, K B Kulasekera, Somnath Datta, 2019, Statistics in medicine.

Nonparametric Estimation for the Three‐Stage Irreversible Illness–Death Model

G A Satten, G. Satten, S. Datta, 2000, Biometrics.

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

S. Levy, S. Datta, J. Gaskins, 2022, Statistics in medicine.

Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution

S. Levy, S. Datta, Tong Kang, 2021, Biometrical journal. Biometrische Zeitschrift.

A Bayesian approach for analyzing zero‐inflated clustered count data with dispersion

S. Levy, S. Datta, J. Gaskins, 2018, Statistics in medicine.

Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications

Somnath Datta, Hyoyoung Choo-Wosoba, S. Levy, 2016, Biometrics.

Applications of Feature Selection and Regression Techniques in Materials Design: A Tutorial

Somnath Datta, Partha Dey, Joe Bible, 2016 .

svapls: an R package to correct for hidden factors of variability in gene expression studies

S. Datta, S. Datta, Sutirtha Chakraborty, 2013, BMC Bioinformatics.

Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic data

S. Datta, S. Datta, V. Pihur, 2011, Bioinformation.

Integrating gene regulatory pathways into differential network analysis of gene expression data

S. Potter, S. Datta, T. Grimes, 2019, Scientific Reports.

Asymptotic Optimality of Bayes Compound Estimators in Compact Exponential Families

S. Datta, 1991 .

A SOLUTION TO THE SET COMPOUND ESTIMATION PROBLEM WITH CERTAIN NONREGULAR COMPONENTS

S. Datta, 1993 .

Inference for pth‐order random coefficient integer‐valued autoregressive processes

Somnath Datta, I. V. Basawa, Haitao Zheng, 2006 .

First-order random coefficient integer-valued autoregressive processes

Somnath Datta, I. V. Basawa, Haitao Zheng, 2007 .

An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data

Vasyl Pihur, Susmita Datta, Somnath Datta, 2010, BMC Bioinformatics.

Adjustments of multi-sample U-statistics to right censored data and confounding covariates

Somnath Datta, Yichen Chen, S. Datta, 2019, Comput. Stat. Data Anal..

Empirical Bayes screening of many p-values with applications to microarray studies

S. Datta, S. Datta, 2005, Bioinform..

A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics

Susmita Datta, Jasmit Shah, Somnath Datta, 2014, Comput. Stat..

Integrating gene regulatory pathways into differential network analysis of gene expression data

Somnath Datta, Tyler Grimes, S Steven Potter, 2019, Scientific Reports.

Temporal prediction of future state occupation in a multistate model from high-dimensional baseline covariates via pseudo-value regression

S. Datta, S. Datta, S. Dutta, 2017, Journal of statistical computation and simulation.

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes

S. Datta, S. Datta, 2006, BMC Bioinformatics.

Cluster Analysis: Finding Groups in Data

S. Datta, S. Datta, Joe Bible, 2013 .

GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries

Somnath Datta, Sheng Xu, Steven M. Levy, 2015, Comput. Stat. Data Anal..

Testing Equality of Survival Distributions when the Population Marks are Missing.

D. Bandyopadhyay, S. Datta, 2008, Journal of statistical planning and inference.

Nonparametric Estimation of Marginal Temporal Functionals in a Multi-State Model

Somnath Datta, A. Nicole Ferguson, S. Datta, 2012 .

A nonparametric analysis of waiting times from a multistate model using a novel linear hazards model approach

S. Datta, D. Lorenz, 2015 .

Estimation of average treatment effects among multiple treatment groups by using an ensemble approach

K B Kulasekera, Somnath Datta, Maxwell Boakye, 2019, Statistics in medicine.

Consistency and Asymptotic Normality of Estimators in a Proportional Hazards Model with Interval Censoring and Left Truncation

Somnath Datta, Glen A. Satten, G. Satten, 2000 .

Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data

Somnath Datta, Glen A. Satten, G. Satten, 1998 .

Reconstruction of genetic association networks from microarray data: a partial least squares approach

S. Datta, S. Datta, Vasyl Pihur, 2008, Bioinform..

Marginal estimation for multi‐stage models: waiting time distributions and competing risks analyses

Somnath Datta, Glen A Satten, G. Satten, 2002, Statistics in medicine.

The two-body multipole problem of electrodynamics

S. Datta, 1988 .

A modified bootstrap for branching processes with immigration

T. N. Sriram, S. Datta, 1995 .

Analyzing clustered count data with a cluster-specific random effect zero-inflated Conway–Maxwell–Poisson distribution

S. Datta, Hyoyoung Choo-Wosoba, 2018, Journal of applied statistics.

A Bayesian approach for analyzing zero‐inflated clustered count data with dispersion

S. Levy, S. Datta, J. Gaskins, 2018, Statistics in medicine.

The S-U algorithm for missing data problems

Somnath Datta, Glen A. Satten, G. Satten, 2000, Comput. Stat..

A rank‐sum test for clustered data when the number of subjects in a group within a cluster is informative

S. Datta, S. Dutta, 2016, Biometrics.

Bridging in vivo and in vitro data from Japanese Toxicogenomics Project using network analyses

S. Datta, S. Datta, R. Gill, 2014 .