| Statistical medical fraud assessment: exposition to an emerging field T Ekin, F Ieva, F Ruggeri, R Soyer International Statistical Review 86 (3), 379-402, 2018 | 69 | 2018 |
| Application of Bayesian Methods in Detection of Healthcare Fraud T Ekin, F Leva, F Ruggeri, R Soyer in Chemical Engineering Transactions 33, 2013 | 69 | 2013 |
| Analysis of protective behavior and security incidents for home computers G White, T Ekin, L Visinescu Journal of Computer Information Systems 57 (4), 353-363, 2017 | 58 | 2017 |
| Healthcare fraud data mining methods: a look back and look ahead N Kumaraswamy, MK Markey, T Ekin, JC Barner, K Rascati Perspectives in health information management 19 (1), 1i, 2022 | 45 | 2022 |
| Topic modelling for medical prescription fraud and abuse detection B Zafari, T Ekin Journal of the Royal Statistical Society Series C: Applied Statistics 68 (3 …, 2019 | 44 | 2019 |
| Integrated maintenance and production planning with endogenous uncertain yield T Ekin Reliability engineering & system safety 179, 52-61, 2018 | 38 | 2018 |
| An unsupervised Bayesian hierarchical method for medical fraud assessment T Ekin, G Lakomski, RM Musal Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (2 …, 2019 | 29 | 2019 |
| Stochastic call center staffing with uncertain arrival, service and abandonment rates: A Bayesian perspective T Aktekin, T Ekin Naval Research Logistics (NRL) 63 (6), 460-478, 2016 | 27 | 2016 |
| Augmented probability simulation methods for sequential games T Ekin, R Naveiro, DR Insua, A Torres-Barrán European Journal of Operational Research 306 (1), 418-430, 2023 | 22 | 2023 |
| Stochastic multi-objective auto-optimization for resource allocation decision-making in fixed-input health systems ND Bastian, T Ekin, H Kang, PM Griffin, LV Fulton, BC Grannan Health care management science 20, 246-264, 2017 | 22 | 2017 |
| Health care fraud classifiers in practice T Ekin, L Frigau, C Conversano Applied stochastic models in business and industry 37 (6), 1182-1199, 2021 | 19 | 2021 |
| Augmented Markov chain Monte Carlo simulation for two-stage stochastic programs with recourse T Ekin, NG Polson, R Soyer Decision Analysis 11 (4), 250-264, 2014 | 18 | 2014 |
| Statistics and health care fraud: How to save billions T Ekin Chapman and Hall/CRC, 2019 | 17 | 2019 |
| Using a Bayesian Belief Network to detect healthcare fraud N Kumaraswamy, T Ekin, C Park, MK Markey, JC Barner, K Rascati Expert Systems with Applications 238, 122241, 2024 | 16 | 2024 |
| On the Use of the Concentration Function in Medical Fraud Assessment T Ekin, F Ieva, F Ruggeri, R Soyer The American Statistician 71 (3), 236-241, 2017 | 16 | 2017 |
| Overpayment models for medical audits: multiple scenarios T Ekin, RM Musal, LV Fulton Journal of Applied Statistics 42 (11), 2391-2405, 2015 | 16 | 2015 |
| Augmented Nested Sampling for Stochastic Programs with Recourse and Endogenous Uncertainty T Ekin, N Polson, R Soyer Naval Research Logistics, 2018 | 14 | 2018 |
| Fuzzy decision making in health systems: a resource allocation model T Ekin, O Kocadagli, ND Bastian, LV Fulton, PM Griffin EURO Journal on Decision Processes 4 (3), 245–267, 2016 | 13 | 2016 |
| Determinants of diabetes disease management, 2011–2019 LV Fulton, OE Adepoju, D Dolezel, T Ekin, D Gibbs, B Hewitt, A McLeod, ... Healthcare 9 (8), 944, 2021 | 10 | 2021 |
| Medical Overpayment Estimation: A Bayesian Approach RM Musal, T Ekin Statistical Modelling 17 (3), 196-222, 2017 | 10 | 2017 |
Lawrence FultonBoston CollegeVerifierad e-postadress på bc.edu