| Algorithmic prediction of health-care costs D Bertsimas, MV Bjarnadóttir, MA Kane, JC Kryder, R Pandey, S Vempala, ... Operations Research 56 (6), 1382-1392, 2008 | 282 | 2008 |
| Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework R Agarwal, M Bjarnadottir, L Rhue, M Dugas, K Crowley, J Clark, G Gao Health Policy and Technology 12 (1), 100702, 2023 | 80 | 2023 |
| Aðdragandi og orsakir falls íslensku bankanna 2008 og tengdir atburðir Iceland. Rannsóknarnefnd Alþingis, P Hreinsson, S Benediktsdóttir, ... Rannsóknarnefnd Alþingis, 2010 | 47 | 2010 |
| High-volume hypothesis testing: Systematic exploration of event sequence comparisons S Malik, B Shneiderman, F Du, C Plaisant, M Bjarnadottir ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (1), 1-23, 2016 | 46 | 2016 |
| Voice interface technology adoption by patients with heart failure: pilot comparison study LA Apergi, MV Bjarnadottir, JS Baras, BL Golden, KM Anderson, J Chou, ... JMIR mHealth and uHealth 9 (4), e24646, 2021 | 31 | 2021 |
| On a firm’s optimal response to pressure for gender pay equity D Anderson, MV Bjarnadóttir, CL Dezső, DG Ross Organization Science 30 (1), 214-231, 2019 | 21 | 2019 |
| Sensitivity of the medication possession ratio to modelling decisions in large claims databases MV Bjarnadottir, D Czerwinski, E Onukwugha Pharmacoeconomics 36, 369-380, 2018 | 20 | 2018 |
| Understanding adherence and prescription patterns using large-scale claims data MV Bjarnadóttir, S Malik, E Onukwugha, T Gooden, C Plaisant Pharmacoeconomics 34, 169-179, 2016 | 20 | 2016 |
| Data-driven approach to health care: applications using claims data MV Bjarnadottir Massachusetts Institute of Technology, 2008 | 20 | 2008 |
| Machine learning in healthcare: Operational and financial impact D Anderson, MV Bjarnadottir, Z Nenova Innovative Technology at the Interface of Finance and Operations: Volume I …, 2022 | 18 | 2022 |
| Predicting colorectal cancer mortality: Models to facilitate patient‐physician conversations and inform operational decision making M Bjarnadottir, D Anderson, L Zia, K Rhoads Production and Operations Management 27 (12), 2162-2183, 2018 | 18 | 2018 |
| Machine learning in healthcare: Fairness, issues, and challenges MV Bjarnadóttir, D Anderson Pushing the Boundaries: Frontiers in Impactful OR/OM Research, 64-83, 2020 | 15 | 2020 |
| The bird’s-eye view: a data-driven approach to understanding patient journeys from claims data K Bobroske, C Larish, A Cattrell, MV Bjarnadóttir, L Huan Journal of the American Medical Informatics Association 27 (7), 1037-1045, 2020 | 15 | 2020 |
| Great expectations: An analysis of major league baseball free agent performance SL Barnes, MV Bjarnadóttir Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (5 …, 2016 | 15 | 2016 |
| Bridging the gap: Applying analytics to address gender pay inequity D Anderson, MV Bjarnadóttir, DG Ross Production and Operations Management 32 (6), 1846-1864, 2023 | 10 | 2023 |
| Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial N Shara, MV Bjarnadottir, N Falah, J Chou, HS Alqutri, FM Asch, ... PLoS One 17 (5), e0267794, 2022 | 10 | 2022 |
| Using people analytics to build an equitable workplace D Anderson, MV Bjarnadóttir, DG Ross Harvard Business Review 27, 2022 | 10 | 2022 |
| Rationing scarce healthcare capacity: A study of the ventilator allocation guidelines during the COVID‐19 pandemic DR Anderson, T Aydinliyim, MV Bjarnadóttir, EB Çil, MR Anderson Production and Operations Management, 2023 | 9 | 2023 |
| Why companies’ attempts to close the gender pay gap often fail D Anderson, MV Bjarnadottir, C Dezso, DG Ross Harvard Business Review, 2019 | 8 | 2019 |
| When is an ounce of prevention worth a pound of cure? Identifying high-risk candidates for case management D Anderson, M Bjarnadóttir IIE Transactions on Healthcare Systems Engineering 6 (1), 22-32, 2016 | 8 | 2016 |
