| Classification of 2× 2 sparse data sets with zero cells M Subbiah, MR Srinivasan Statistics & probability letters 78 (18), 3212-3215, 2008 | 28 | 2008 |
| Fitting length of stay in hospitals using transformed distributions S Harini, M Subbiah, MR Srinivasan Communications in Statistics: Case Studies, Data Analysis and Applications 4 …, 2018 | 18 | 2018 |
| A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy K Vaitheeswaran, M Subbiah, R Ramakrishnan, T Kannan Journal of Applied Statistics 43 (12), 2254-2260, 2016 | 10 | 2016 |
| Estimation of confidence intervals for Multinomial proportions of sparse contingency tables using Bayesian methods U Sangeetha, M Subbiah, MR Srinivasan International Journal of Scientific and Research Publications 3, 1-7, 2013 | 10 | 2013 |
| Bayesian approach to multicentre sparse data M Subbiah, BK Kumar, MR Srinivasan Communications in Statistics—Simulation and Computation® 37 (4), 687-696, 2008 | 8 | 2008 |
| Risk Score Estimation of Diabetic Retinopathy: Statistical Alte rnatives using Multiple Logistic Regression V K, R Ramakrishnan, M Subbiah, R Raman Journal of Biometrics & Biostatistics 5 (5), 1, 2014 | 7* | 2014 |
| Sensitivity analysis of bayes factor for categorical data with emphasis on sparse multinomial data U Sangeetha, M Subbiah, MR Srinivasan, B Nandram Journal of Data Science 12 (2), 339-357, 2014 | 6 | 2014 |
| Fitting Length of Stay by Multi Stage Classification of Covariates Using Transformed Gamma–Pareto Distribution S Harini, M Subbiah, MR Srinivasan Journal of the Indian Society for Probability and Statistics 20, 141-156, 2019 | 5 | 2019 |
| Revisiting higher education data analysis: A Bayesian perspective M Subbiah, MR Srinivasan, S Shanthi International Journal of Science and Technology Education Research 2 (2), 32-38, 2011 | 5 | 2011 |
| Identifying associated risk factors for severity of Diabetic Retinopathy from ordinal logistic regression models R Kulothungan, V., Subbiah, M., Ramakrishnan, R., & Raman Biostatistics & Epidemiology 2 (1), 2017 | 3* | 2017 |
| Proportion: A comprehensive R package for inference on single Binomial proportion and Bayesian computations M Subbiah, V Rajeswaran SoftwareX 6, 36-41, 2017 | 3 | 2017 |
| Bayesian Inference On Sparseness In 2x2 Contingency Tables And Its Application M Subbiah Chennai, 2009 | 3 | 2009 |
| A random effect model for the evolution of international cricket test matches evidenced from 1870 to 2016 M Subbiah, V Rajeswaran Stat. Appl 14 (2), 2016 | 1 | 2016 |
| A Comprehensive Statistical Analysis on Information Search Behavior using Mediation Procedures B Ravikumar, M Subbiah, R Ramakrishnan, AJ Verghese nternational Journal of Statistika and Mathematika 10 (3), 61-69, 2014 | 1 | 2014 |
| Mathematical Analysis of propensity of aberration on the methods for interval estimation of the multinomial proportions U Sangeetha, M Subbiah, MR Srinivasan IOSR Journal of Mathematics, 23-28, 2013 | 1 | 2013 |
| Detecting outliers in I× J tables through the level of susceptibility. TP SRIPRIYA, MR SRINIVASAN, M SUBBIAH Chilean Journal of Statistics (ChJS) 11 (1), 2020 | | 2020 |
| An application of transformed distribution: length of stay in hospitals S Harini, M Subbiah, MR Srinivasan, M Gallo Electronic Journal of Applied Statistical Analysis 12 (3), 691-704, 2019 | | 2019 |
| Modelling Length of Stay in Hospitals using Multinomial Regression S Harini, M Subbiah, MR Srinivasan International Journal of Computational and Theoretical Statistics 6 (2), 2019 | | 2019 |
| Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective M Subbiah, R Renuka Devi, M Gallo, MR Srinivasan New Statistical Developments in Data Science: SIS 2017, Florence, Italy …, 2019 | | 2019 |
| A Comparative Study on Methods for Measuring Heterogeneity in Binomial Proportion–Meta Analytic Approach S Sakthivel, M Subbiah, R Ramakrishnan International Journal of Computational and Theoretical Statistics 5 (01), 49-60, 2018 | | 2018 |
Dr. VAITHEESWARAN KULOTHUNGA...Scientist E, ICMR-National centre for disease informatics and research, BengaluruVerified email at ncdirindia.org
