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Log Odds and the Interpretation of Logit Models - PMC

ncbi.nlm.nih.gov · 7,189 words · saved by 1 readers

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now. 1 Department of Health Management and Policy, Department of Economics, University of Michigan, Ann Arbor, MI 2 National Bureau of Economic Research, Cambridge, MA 3 Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN We discuss how to interpret coefficients from logit models, focusing on the importance of the standard deviation (σ) of the error term to that interpretation. We show how odd

Health Serv Res . 2017 May 30;53(2):859–878. doi: 10.1111/1475-6773.12712 Log Odds and the Interpretation of Logit Models Edward C Norton Edward C Norton , Ph.D. 1 Department of Health Management and Policy, Department of Economics, University of Michigan, Ann Arbor, MI 2 National Bureau of Economic Research, Cambridge, MA Find articles by Edward C Norton 1, 2, ✉ , Bryan E Dowd Bryan E Dowd , Ph.D. 3 Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN Find articles by Bryan E Dowd 3 Author information Article notes Copyright and License i

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