| Martin S. Levy, PhD | |||
| Professor of Applied Statistics/Quantitative Analysis | |||
Martin S. Levy is Professor of Quantitative Analysis whose research and teaching specialty is applied statistics. He received his Ph.D. in Statistics from Kansas State University. He has written close to fifty refereed research papers. Most of these pertain to statistical methodology, the remainder being co-authored contributions in other diverse areas reflecting his collaboration in experimental design and data analysis with scientists and researchers. He has broad interests spanning several areas of applied statistics including statistical prediction analysis, linear statistical models, multivariate statistical methods, and sample survey. His statistical research has appeared in The Journal of the American Statistical Association, Communications in Statistics, The American Statistician, Journal of Educational and Behavioral Statistics, The Journal of Computational Statistics and Data Analysis, Journal of Statistical Planning and Inference, Mathematical Methods of Statistics, Survey Methodology, and Computers and Operations Research as well as other well respected academic journals. He also regularly serves as a referee for some of these journals. His collaborative research has appeared in The Journal of Biomechanical Engineering, The Journal of Orthopedic Research, The Journal of Bone and Joint Surgery, The American Journal of Sports Medicine, and The Journal of Arthoplasty. His extensive experience in statistical consulting and practical collaborative research includes work on contracts and grants with Federated Department Stores, Cinergy, Gibson Greeting Cards, Kroger, Bethesda Hospital, Christ Hospital, LexusNexus, Deaconess Hospital, and as an expert witness in legal cases. | |||
| Contact Information | |||
| martin.levy@uc.edu | |||
| 529 Carl H. Lindner Hall PO Box 210130 Cincinnati, Ohio 45221-0130 |
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| Areas of Expertise | |||
| Quantitative Analysis | |||
| Data Analysis | |||
| Prediction Analysis, Sample Survey, Multivariate Statistics, Statistical Inference, Linear Models, Data Analysis in Collaborative Research | |||
| Sampling Techniques, Decision Theory and Bayesian Analysis, Stochastic Models, Mathematical Statistics, Multivariate Methods, Forecasting, Design of Experiments, Data Analysis, Statistical Methods, Statistical Prediction Analysis, Probability, Statistical Inference, Decision Analysis, Business Statistics, and many other statistics courses |
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