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Log Odds and the Interpretation of Logit Models

dc.contributor.authorNorton, Edward C.
dc.contributor.authorDowd, Bryan E.
dc.date.accessioned2018-04-04T18:49:32Z
dc.date.available2019-05-13T14:45:26Zen
dc.date.issued2018-04
dc.identifier.citationNorton, Edward C.; Dowd, Bryan E. (2018). "Log Odds and the Interpretation of Logit Models." Health Services Research 53(2): 859-878.
dc.identifier.issn0017-9124
dc.identifier.issn1475-6773
dc.identifier.urihttps://hdl.handle.net/2027.42/142912
dc.publisherWiley Periodicals, Inc.
dc.publisherCambridge University Press
dc.subject.otherprobit
dc.subject.otherLogit
dc.subject.otherodds ratio
dc.subject.otherrisk ratio
dc.subject.othermarginal effects
dc.titleLog Odds and the Interpretation of Logit Models
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142912/1/hesr12712.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142912/2/hesr12712_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142912/3/hesr12712-sup-0001-AppendixSA1.pdf
dc.identifier.doi10.1111/1475-6773.12712
dc.identifier.sourceHealth Services Research
dc.identifier.citedreferenceSchwartz, L. M., S. Woloshin, and H. G. Welch. 1999. “ Misunderstandings about the Effects of Race and Sex on Physicians’ Referrals for Cardiac Catheterization.” New England Journal of Medicine 341 ( 4 ): 279 – 83.
dc.identifier.citedreferenceAltman, D. G., J. J. Deeks, and D. L. Sackett. 1998. “ Odds Ratios Should Be Avoided When Events Are Common.” British Medical Journal 317 ( 7168 ): 1318.
dc.identifier.citedreferenceAngrist, J. D. 2001. “ Estimation of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice.” Journal of Business and Economic Statistics 19 ( 1 ): 2 – 28.
dc.identifier.citedreferenceBen‐Akiva, M., and T. Morikawa. 1990. “ Estimation of Switching Models from Revealed Preferences and Stated Intentions.” Transportation Research A 24 ( 6 ): 485 – 95.
dc.identifier.citedreferenceDowd, B. E., W. H. Greene, and E. C. Norton. 2014. “ Computation of Standard Errors.” Health Services Research 49 ( 2 ): 731 – 50.
dc.identifier.citedreferenceGail, M. H., S. Wieand, and S. Piantadosi. 1984. “ Biased Estimates of Treatment Effect in Randomized Experiments with Nonlinear Regressions and Omitted Covariates.” Biometrika 71 ( 3 ): 431 – 44.
dc.identifier.citedreferenceGreene, W. H., and D. A. Hensher. 2010. Modeling Ordered Choices: A Primer. Cambridge, UK: Cambridge University Press.
dc.identifier.citedreferenceGreenland, S. 1987. “ Interpretation and Choice of Effect Measures in Epidemiologic Analyses.” American Journal of Epidemiology 125 ( 5 ): 761 – 8.
dc.identifier.citedreferenceKaraca‐Mandic, P., E. C. Norton, and B. E. Dowd. 2012. “ Interaction Terms in Non‐Linear Models.” Health Services Research 47 ( 1 ): 255 – 74.
dc.identifier.citedreferenceKleinman, L. C., and E. C. Norton. 2009. “ What’s the Risk? A Simple Approach for Estimating Adjusted Risk Ratios from Nonlinear Models Including Logistic Regression.” Health Services Research 44 ( 1 ): 288 – 302.
dc.identifier.citedreferenceLee, L.‐F. 1982. “ Specification Error in Multinomial Logit Models, Analysis of Omitted Variable Bias.” Journal of Econometrics 20 ( 2 ): 197 – 209.
dc.identifier.citedreferenceMood, C. 2010. “ Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do about It.” European Sociological Review 26 ( 1 ): 67 – 82.
dc.identifier.citedreferenceMroz, T. A., and Y. V. Zayats. 2008. “ Arbitrarily Normalized Coefficients, Information Sets, and False Reports of “Biases” in Binary Outcome Models.” Review of Economics and Statistics 90 ( 3 ): 406 – 13.
dc.identifier.citedreferenceNorton, E. C., M. M. Miller, and L. C. Kleinman. 2013. “ Computing Adjusted Risk Ratios and Risk Differences in Stata.” Stata Journal 13 ( 3 ): 492 – 509.
dc.identifier.citedreferenceSackett, D. L., J. J. Deeks, and D. G. Altman. 1996. “ Down with Odds Ratios! ” Evidence Based Medicine 1 ( 6 ): 164 – 6.
dc.identifier.citedreferenceSwait, J., and J. Louviere. 1993. “ The Role of the Scale Parameter in the Estimation and Use of Multinomial Logit Models.” Journal of Marketing Research 30 ( 3 ): 305 – 14.
dc.identifier.citedreferenceTajeu, G. S., B. Sen, D. B. Allison, and N. Menachemi. 2012. “ Misuse of Odds Ratios in Obesity Literature: An Empirical Analysis of Published Studies.” Obesity 20 ( 8 ): 1726 – 31.
dc.identifier.citedreferenceTrain, K. 2009. Discrete Choice Methods with Simulation, 2d Edition. Cambridge, UK: Cambridge University Press.
dc.identifier.citedreferenceWalter, S. D. 2000. “ Choice of Effect Measure for Epidemiological Data.” Journal of Clinical Epidemiology 53 ( 9 ): 931 – 9.
dc.identifier.citedreferenceWooldridge, J. M. 2010. Econometric Analysis of Cross Section and Panel Data, 2d Edition. Cambridge, MA: The MIT Press.
dc.identifier.citedreferenceYatchew, A., and Z. Griliches. 1985. “ Specification Error in Probit Models.” Review of Economics and Statistics 67 ( 1 ): 134 – 9.
dc.identifier.citedreferenceAi, C., and E. C. Norton. 2003. “ Interaction Terms in Logit and Probit Models.” Economics Letters 80 ( 1 ): 123 – 9.
dc.identifier.citedreferenceAllison, P. D. 1999. “ Comparing Logit and Probit Coefficients across Groups.” Sociological Methods and Research 28 ( 2 ): 186 – 208.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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