30 citations · 43 across the 7 of their papers we have counts for
7 papers
Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values
Seungjun Ahn, Somnath Datta
A recent breakthrough in differential network (DN) analysis of microbiome data has been realized with the advent of next-generation sequencing technologies. The DN analysis disenta…
A Pseudo-Value Regression Approach for Differential Network Analysis of Co-Expression Data
Seungjun Ahn, Tyler Grimes, Somnath Datta
The differential network (DN) analysis identifies changes in measures of association among genes under two or more experimental conditions. In this article, we introduce a Pseudo-v…
Pseudo-value regression of clustered multistate current status data with informative cluster sizes
Samuel Anyaso-Samuel, Dipankar Bandyopadhyay, Somnath Datta
Multistate current status (CS) data presents a more severe form of censoring due to the single observation of study participants transitioning through a sequence of well-defined di…
Adjusting for informative cluster size in pseudo-value based regression approaches with clustered time to event data
Samuel Anyaso-Samuel, Somnath Datta
Informative cluster size (ICS) arises in situations with clustered data where a latent relationship exists between the number of participants in a cluster and the outcome measures.…
Selection of the Optimal Personalized Treatment from Multiple Treatments with Right-censored Multivariate Outcome Measures
Chathura Siriwardhana, K. B. Kulasekera, Somnath Datta
We propose a novel personalized concept for the optimal treatment selection for a situation where the response is a multivariate vector, that could contain right-censored variables…
A Bayesian Nonparametric Approach for Identifying Differentially Abundant Taxa in Multigroup Microbiome Data with Covariates
Archie Sachdeva, Somnath Datta, Subharup Guha
Scientific studies in the last two decades have established the central role of the microbiome in disease and health. Differential abundance analysis seeks to identify microbial ta…
Inference on the marginal distribution of clustered data with informative cluster size
Jaakko Nevalainen, Somnath Datta, Hannu Oja
In spite of recent contributions to the literature, informative cluster size settings are not well known and understood. In this paper, we give a formal definition of the problem a…