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Arnab Kumar Maity

Showing results (1-10 of 9) with videos related to

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The Journal of Organic Chemistry|February 28, 2012
A multimetallic piano-stool Ir-Sn3 catalyst for nucleophilic substitution reaction of γ-hydroxy lactams through N-acyliminium ionsArnab Kumar Maity, Sujit Roy
Journal of the Royal Statistical Society. Series C, Applied Statistics|June 12, 2024
Bayesian Criterion Based Variable SelectionArnab Kumar Maity, Sanjib Basu, Santu Ghosh
Statistics in Medicine|August 14, 2025
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses-Application to Phase III TrialArnab Kumar Maity, Huaming Tan, Vivek Pradhan, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 14, 2020
Integration of Survival and Binary Data for Variable Selection and Prediction: A Bayesian ApproachArnab Kumar Maity, Raymond J Carroll, Bani K Mallick
Biometrics|August 9, 2019
Bayesian data integration and variable selection for pan-cancer survival prediction using protein expression dataArnab Kumar Maity, Anirban Bhattacharya, Bani K Mallick, et al.
Cancer Informatics|September 7, 2019
Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer-Related MortalityTapasree Roy Sarkar, Arnab Kumar Maity, Yabo Niu, et al.
Bioinformatics (Oxford, England)|May 6, 2020
Bayesian structural equation modeling in multiple omics data with application to circadian genesArnab Kumar Maity, Sang Chan Lee, Bani K Mallick, et al.
Journal of Biopharmaceutical Statistics|February 23, 2026
<i>BLRM-EffTox</i>: A seamless two-stage phase 1 Bayesian logistic regression design incorporating efficacy-toxicity trade-off for dose optimizationXin Liu, Cynthia Basu, Arnab Kumar Maity, et al.
Chemometrics and Intelligent Laboratory Systems : an International Journal Sponsored by the Chemometrics Society|January 24, 2022
Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq DataArnab Kumar Maity, Sang Chan Lee, Linhan Hu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
The Journal of Organic Chemistry|February 28, 2012
A multimetallic piano-stool Ir-Sn3 catalyst for nucleophilic substitution reaction of γ-hydroxy lactams through N-acyliminium ionsArnab Kumar Maity, Sujit Roy
Journal of the Royal Statistical Society. Series C, Applied Statistics|June 12, 2024
Bayesian Criterion Based Variable SelectionArnab Kumar Maity, Sanjib Basu, Santu Ghosh
Statistics in Medicine|August 14, 2025
Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses-Application to Phase III TrialArnab Kumar Maity, Huaming Tan, Vivek Pradhan, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 14, 2020
Integration of Survival and Binary Data for Variable Selection and Prediction: A Bayesian ApproachArnab Kumar Maity, Raymond J Carroll, Bani K Mallick
Biometrics|August 9, 2019
Bayesian data integration and variable selection for pan-cancer survival prediction using protein expression dataArnab Kumar Maity, Anirban Bhattacharya, Bani K Mallick, et al.
Cancer Informatics|September 7, 2019
Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer-Related MortalityTapasree Roy Sarkar, Arnab Kumar Maity, Yabo Niu, et al.
Bioinformatics (Oxford, England)|May 6, 2020
Bayesian structural equation modeling in multiple omics data with application to circadian genesArnab Kumar Maity, Sang Chan Lee, Bani K Mallick, et al.
Journal of Biopharmaceutical Statistics|February 23, 2026
<i>BLRM-EffTox</i>: A seamless two-stage phase 1 Bayesian logistic regression design incorporating efficacy-toxicity trade-off for dose optimizationXin Liu, Cynthia Basu, Arnab Kumar Maity, et al.
Chemometrics and Intelligent Laboratory Systems : an International Journal Sponsored by the Chemometrics Society|January 24, 2022
Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq DataArnab Kumar Maity, Sang Chan Lee, Linhan Hu, et al.
Pageof 1