| Neutrophil gelatinase-associated lipocalin prior to cardiac surgery predicts acute kidney injury and mortality H Bulluck, R Maiti, B Chakraborty, L Candilio, T Clayton, R Evans, ... Heart 104 (4), 313-317, 2018 | 24 | 2018 |
| Bayesian forecasting for time series of categorical data JF Angers, A Biswas, R Maiti Journal of Forecasting 36 (3), 217-229, 2017 | 19 | 2017 |
| Coherent forecasting for count time series using Box–Jenkins's AR(p) model R Maiti, A Biswas, S Das Statistica Neerlandica 70 (2), 123-145, 2016 | 17 | 2016 |
| Time series of zero‐inflated counts and their coherent forecasting R Maiti, A Biswas, S Das Journal of Forecasting 34 (8), 694-707, 2015 | 16 | 2015 |
| Modelling and coherent forecasting of zero-inflated count time series R Maiti, A Biswas, A Guha, SH Ong Statistical Modelling 14 (5), 375-398, 2014 | 15 | 2014 |
| Coherent forecasting for over-dispersed time series of count data R Maiti, A Biswas | 14 | 2015 |
| The effectiveness of web-based tailored smoking cessation interventions on the quitting process (Project Quit): secondary analysis of a randomized controlled trial B Chakraborty, R Maiti, VJ Strecher Journal of medical Internet research 20 (6), e213, 2018 | 12 | 2018 |
| Coherent forecasting for stationary time series of discrete data R Maiti, A Biswas AStA Advances in Statistical Analysis 99 (3), 337-365, 2015 | 12 | 2015 |
| Evolutionary dynamics of social inequality and coincidence of Gini and Kolkata indices under unrestricted competition S Banerjee, S Biswas, BK Chakrabarti, SK Challagundla, A Ghosh, ... International Journal of Modern Physics C 34 (04), 2350048, 2023 | 11 | 2023 |
| Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data S Chattopadhyay, R Maiti, S Das, A Biswas Statistica Neerlandica 76 (1), 4-34, 2022 | 8 | 2022 |
| Pressure injuries among admissions to a hospital in the tropics N Graves, R Maiti, FAB Aloweni, AS Yuh, ZJ Lo, K Harding International Wound Journal 17 (6), 1659-1668, 2020 | 6 | 2020 |
| A sequential significance test for treatment by covariate interactions M Qian, B Chakraborty, R Maiti, YK Cheung Statistica Sinica 31 (3), 1353-1374, 2021 | 5 | 2021 |
| Modelling of low count heavy tailed time series data consisting large number of zeros and ones R Maiti, A Biswas, B Chakraborty Statistical Methods & Applications 27, 407-435, 2018 | 5 | 2018 |
| A distribution-free smoothed combination method of biomarkers to improve diagnostic accuracy in multi-category classification R Maiti, J Li, P Das, L Feng, D Hausenloy, B Chakraborty arXiv preprint arXiv:1904.10046, 2019 | 4 | 2019 |
| Scaling behavior of the Hirsch index for failure avalanches, percolation clusters, and paper citations A Ghosh, BK Chakrabarti, DRS Ram, M Mitra, R Maiti, S Biswas, ... Frontiers in Physics 10, 1019744, 2022 | 3 | 2022 |
| Time series analysis of categorical data using auto-odds ratio function R Maiti, A Biswas Statistics 52 (2), 426-444, 2018 | 3 | 2018 |
| Estimating the optimal linear combination of predictors using spherically constrained optimization P Das, D De, R Maiti, M Kamal, KA Hutcheson, CD Fuller, B Chakraborty, ... BMC bioinformatics 23 (Suppl 3), 436, 2022 | 2 | 2022 |
| Bayesian comparative study on binary time series E Paul, AK Maity, R Maiti Journal of Statistical Computation and Simulation 88 (14), 2811-2826, 2018 | 2 | 2018 |
| Modelling and coherent forecasting of zero-inflated time series count data R Maiti, A Biswas, A Guha, HO Seng IIMA Working Papers, 2013 | 2 | 2013 |
| Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes J Yap, J J Dziak, R Maiti, K Lynch, JR McKay, B Chakraborty, ... Statistical Methods in Medical Research 32 (7), 1267-1283, 2023 | 1 | 2023 |
