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Bioinformation|June 29, 2007
Incorporation of biological knowledge into distance for clustering genesGrzegorz M Boratyn, Susmita Datta, Somnath DattaBiometrics|April 24, 2007
Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSOSusmita Datta, Jennifer Le-Rademacher, Somnath DattaStatistics in Medicine|June 21, 2018
Multisample adjusted U-statistics that account for confounding covariatesGlen A Satten, Maiying Kong, Somnath DattaLifetime Data Analysis|August 19, 2017
Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored dataChathura Siriwardhana, K B Kulasekera, Somnath DattaStatistical Methods in Medical Research|June 16, 2023
Pseudo-value regression of clustered multistate current status data with informative cluster sizesSamuel Anyaso-Samuel, Dipankar Bandyopadhyay, Somnath DattaStatistics in Medicine|September 29, 2011
Marginal association measures for clustered dataDouglas J Lorenz, Somnath Datta, Susan J HarkemaArchives of Physical Medicine and Rehabilitation|August 28, 2012
Longitudinal patterns of functional recovery in patients with incomplete spinal cord injury receiving activity-based rehabilitationDouglas J Lorenz, Somnath Datta, Susan J HarkemaStatistics in Medicine|December 27, 2022
Analyzing dental fluorosis data using a novel Bayesian model for clustered longitudinal ordinal outcomes with an inflated categoryTong Kang, Jeremy Gaskins, Steven Levy, et al.Biometrics|November 18, 2015
Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applicationsHyoyoung Choo-Wosoba, Steven M Levy, Somnath DattaBiometrics|May 24, 2003
Marginal analyses of clustered data when cluster size is informativeJohn M Williamson, Somnath Datta, Glen A SattenPageof 12