| COVID-19 in India: Statewise Analysis and Prediction P Ghosh, R Ghosh, B Chakraborty JMIR Public Health and Surveillance 6 (3), 2020 | 135 | 2020 |
| Exploring the associations between systemic inflammation, obesity and healthy days: a health related quality of life (HRQOL) analysis of NHANES 2005–2008 J Wilkins, P Ghosh, J Vivar, B Chakraborty, S Ghosh BMC obesity 5, 1-12, 2018 | 25 | 2018 |
| Effect of reporting bias in the analysis of spontaneous reporting data P Ghosh, A Dewanji Pharmaceutical Statistics 14 (1), 20-25, 2015 | 23 | 2015 |
| Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling S Ghosh, M Hota, X Chai, J Kiranya, P Ghosh, Z He, JJ Ruiz-Ramie, ... Journal of Applied Physiology 126 (5), 1292-1314, 2019 | 22 | 2019 |
| Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial B Chakraborty, P Ghosh, EEM Moodie, AJ Rush Biometrics, DOI: 10.1111/biom.12493, 2016 | 21 | 2016 |
| Non-Inferiority and Equivalence Tests in A Sequential Multiple-Assignment Randomized Trial (SMART) P Ghosh, I Nahum-Shani, B Spring, B Chakraborty Psychological Methods, 2019 | 19 | 2019 |
| Sample size calculations for clustered SMART designs P Ghosh, YK Cheung, B Chakraborty In MR Kosorok and EEM Moodie (Eds.), Adaptive Treatment Strategies in …, 2016 | 14* | 2016 |
| Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network RK Jain, PK Sharma, S Gaj, A Sur, P Ghosh Multimedia Tools and Applications 83, 6925-6942, 2024 | 12 | 2024 |
| Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART) X Yan, P Ghosh, B Chakraborty Biometrical Journal 63 (2), 247-271, 2021 | 12 | 2021 |
| Analysis of spontaneous adverse drug reaction (ADR) reports using supplementary information P Ghosh, A Dewanji Statistics in Medicine 30 (16), 2040-2055, 2011 | 12 | 2011 |
| Dynamic Data-Driven Algorithm to Predict the Cumulative COVID-19 Infected Cases Using Susceptible-Infected-Susceptible Model A Anand, S Kumar, P Ghosh Epidemiologic Methods 10 (s1), 2021 | 6 | 2021 |
| A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome P Ghosh, X Yan, B Chakraborty Statistics in Medicine, 1-16, 2023 | 5* | 2023 |
| Effect of alternative intravenous lipid emulsion in clinical outcome in non-critically ill patients E Salazar, P Ghosh, V Tan, T Pang, BY Poh, LB Tan, KL Loy, J Chong, ... Clinical Nutrition ESPEN 33, 42-46, 2019 | 2 | 2019 |
| Impact of COVID-19 vaccinations in india-a statewise analysis A Adhikary, M Pal, R Maiti, P Ghosh medRxiv, 2022.12. 02.22283013, 2022 | 1 | 2022 |
| Accounting for the Role of Asymptomatic Patients in Understanding the Dynamics of the COVID-19 Pandemic: A Case Study from Singapore FT Liew, P Ghosh, B Chakraborty Epidemiologic Methods, 2022 | 1 | 2022 |
| A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens P Ghosh, T Nalamada, S Agarwal, M Jahja, B Chakraborty arXiv preprint arXiv:2107.07875, 2021 | 1 | 2021 |
| Matched case–control study with reporting bias P Ghosh, A Dewanji Journal of Statistical Planning and Inference 157, 121-136, 2015 | 1 | 2015 |
| Optimal Adaptive SMART Designs with Binary Outcomes R Ghosh, B Chakraborty, I Nahum-Shani, ME Patrick, P Ghosh arXiv preprint arXiv:2401.03326, 2023 | | 2023 |
| Jump-Drop Adjusted Prediction of Cumulative Infected Cases Using the Modified SIS Model R Mohta, S Prathapani, P Ghosh Annals of Data Science, 1-20, 2023 | | 2023 |
| A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning E Jain, J Neeraja, B Banerjee, P Ghosh arXiv preprint arXiv:2206.11721, 2022 | | 2022 |
Bibhas ChakrabortyAssociate Professor, Duke-NUS Medical School, National University of SingaporeVerified email at duke-nus.edu.sg
