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Journal of Causal Inference|January 9, 2026
Generalized coarsened confounding for causal effects: a large-sample frameworkDebashis Ghosh, Lei WangBMC Bioinformatics|September 10, 2003
Cluster stability scores for microarray data in cancer studiesMark Smolkin, Debashis GhoshBiometrics|March 8, 2008
Combining multiple biomarker models in logistic regressionZheng Yuan, Debashis GhoshBiomarker Insights|August 18, 2009
Joint variable selection and classification with immunohistochemical dataDebashis Ghosh, Ratna ChakrabartiPlos One|March 3, 2012
Motion and flexibility in human cytochrome p450 aromataseWenhua Jiang, Debashis GhoshBMC Bioinformatics|April 16, 2014
A two-step hierarchical hypothesis set testing framework, with applications to gene expression data on ordered categoriesYihan Li, Debashis GhoshStatistical Methodology|November 25, 2014
Incorporating auxiliary information for improved prediction using combination of kernel machinesXiang Zhan, Debashis GhoshQuantitative Biology (Beijing, China)|September 18, 2018
On the use of kernel machines for Mendelian randomizationWeiming Zhang, Debashis GhoshBMC Bioinformatics|June 29, 2014
Meta-analysis based on weighted ordered P-values for genomic data with heterogeneityYihan Li, Debashis GhoshBioinformatics (Oxford, England)|January 31, 2012
Assumption weighting for incorporating heterogeneity into meta-analysis of genomic dataYihan Li, Debashis GhoshPageof 51