17 citations · 24 across the 16 of their papers we have counts for
5 papers · 1 filter
Unconfounded Meta-analytical Frameworks for Multivariate Outcomes in Multigroup Observational Studies using Concordant Weights
Subharup Guha, David C. Christiani, S. V. Subramanian +1
While meta-analyzing retrospective cancer patient cohorts, an investigation of differences in the expressions of target oncogenes across cancer subtypes is of substantial interest…
A New Integrative Method for Multigroup Comparisons of Censored Survival Outcomes in Multiple Observational Studies
Subharup Guha, David C. Christiani, Yi Li
In observational studies, covariate imbalance generates confounding, resulting in biased comparisons. Although propensity score-based weighting approaches facilitate unconfounded g…
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…
Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data
Chiyu Gu, Veerabhadran Baladandayuthapani, Subharup Guha
DNA methylation datasets in cancer studies are comprised of measurements on a large number of genomic locations called cytosine-phosphate-guanine (CpG) sites with complex correlati…
A Clustering Approach to Integrative Analysis of Multiomic Cancer Data
Dongyan Yan, Subharup Guha
Rapid technological advances have allowed for molecular profiling across multiple omics domains from a single sample for clinical decision making in many diseases, especially cance…