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Volumn 53, Issue 2, 2018, Pages 859-878

Log Odds and the Interpretation of Logit Models

Author keywords

Logit; marginal effects; odds ratio; probit; risk ratio

Indexed keywords

CASE CONTROL STUDY; DEPENDENT VARIABLE; EXPLANATORY VARIABLE; MODEL; ODDS RATIO; STUDY DESIGN; HUMAN; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 85020025735     PISSN: 00179124     EISSN: 14756773     Source Type: Journal    
DOI: 10.1111/1475-6773.12712     Document Type: Article
Times cited : (180)

References (23)
  • 1
    • 0037564563 scopus 로고    scopus 로고
    • Interaction Terms in Logit and Probit Models
    • Ai, C., and E. C. Norton. 2003. “Interaction Terms in Logit and Probit Models.” Economics Letters 80 (1): 123–9.
    • (2003) Economics Letters , vol.80 , Issue.1 , pp. 123-129
    • Ai, C.1    Norton, E.C.2
  • 2
    • 0033241347 scopus 로고    scopus 로고
    • Comparing Logit and Probit Coefficients across Groups
    • Allison, P. D. 1999. “Comparing Logit and Probit Coefficients across Groups.” Sociological Methods and Research 28 (2): 186–208.
    • (1999) Sociological Methods and Research , vol.28 , Issue.2 , pp. 186-208
    • Allison, P.D.1
  • 3
    • 0032494710 scopus 로고    scopus 로고
    • Odds Ratios Should Be Avoided When Events Are Common
    • Altman, 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.
    • (1998) British Medical Journal , vol.317 , Issue.7168 , pp. 1318
    • Altman, D.G.1    Deeks, J.J.2    Sackett, D.L.3
  • 4
    • 0035585156 scopus 로고    scopus 로고
    • Estimation of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice
    • Angrist, 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.
    • (2001) Journal of Business and Economic Statistics , vol.19 , Issue.1 , pp. 2-28
    • Angrist, J.D.1
  • 5
    • 0000108807 scopus 로고
    • Estimation of Switching Models from Revealed Preferences and Stated Intentions
    • Ben-Akiva, M., and T. Morikawa. 1990. “Estimation of Switching Models from Revealed Preferences and Stated Intentions.” Transportation Research A 24 (6): 485–95.
    • (1990) Transportation Research A , vol.24 , Issue.6 , pp. 485-495
    • Ben-Akiva, M.1    Morikawa, T.2
  • 7
    • 77956891487 scopus 로고
    • Biased Estimates of Treatment Effect in Randomized Experiments with Nonlinear Regressions and Omitted Covariates
    • Gail, 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.
    • (1984) Biometrika , vol.71 , Issue.3 , pp. 431-444
    • Gail, M.H.1    Wieand, S.2    Piantadosi, S.3
  • 9
    • 0023203943 scopus 로고
    • Interpretation and Choice of Effect Measures in Epidemiologic Analyses
    • Greenland, S. 1987. “Interpretation and Choice of Effect Measures in Epidemiologic Analyses.” American Journal of Epidemiology 125 (5): 761–8.
    • (1987) American Journal of Epidemiology , vol.125 , Issue.5 , pp. 761-768
    • Greenland, S.1
  • 11
    • 58349088984 scopus 로고    scopus 로고
    • What's the Risk? A Simple Approach for Estimating Adjusted Risk Ratios from Nonlinear Models Including Logistic Regression
    • Kleinman, 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.
    • (2009) Health Services Research , vol.44 , Issue.1 , pp. 288-302
    • Kleinman, L.C.1    Norton, E.C.2
  • 12
    • 0011024273 scopus 로고
    • Specification Error in Multinomial Logit Models, Analysis of Omitted Variable Bias
    • Lee, L.-F. 1982. “Specification Error in Multinomial Logit Models, Analysis of Omitted Variable Bias.” Journal of Econometrics 20 (2): 197–209.
    • (1982) Journal of Econometrics , vol.20 , Issue.2 , pp. 197-209
    • Lee, L.-F.1
  • 13
    • 77049103155 scopus 로고    scopus 로고
    • Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do about It
    • Mood, 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.
    • (2010) European Sociological Review , vol.26 , Issue.1 , pp. 67-82
    • Mood, C.1
  • 14
    • 49749091703 scopus 로고    scopus 로고
    • Arbitrarily Normalized Coefficients, Information Sets, and False Reports of “Biases” in Binary Outcome Models
    • Mroz, 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.
    • (2008) Review of Economics and Statistics , vol.90 , Issue.3 , pp. 406-413
    • Mroz, T.A.1    Zayats, Y.V.2
  • 15
    • 84884357995 scopus 로고    scopus 로고
    • Computing Adjusted Risk Ratios and Risk Differences in Stata
    • Norton, 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.
    • (2013) Stata Journal , vol.13 , Issue.3 , pp. 492-509
    • Norton, E.C.1    Miller, M.M.2    Kleinman, L.C.3
  • 17
    • 0033595085 scopus 로고    scopus 로고
    • Misunderstandings about the Effects of Race and Sex on Physicians’ Referrals for Cardiac Catheterization
    • Schwartz, 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.
    • (1999) New England Journal of Medicine , vol.341 , Issue.4 , pp. 279-283
    • Schwartz, L.M.1    Woloshin, S.2    Welch, H.G.3
  • 18
    • 21144471413 scopus 로고
    • The Role of the Scale Parameter in the Estimation and Use of Multinomial Logit Models
    • Swait, 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.
    • (1993) Journal of Marketing Research , vol.30 , Issue.3 , pp. 305-314
    • Swait, J.1    Louviere, J.2
  • 19
    • 84864326307 scopus 로고    scopus 로고
    • Misuse of Odds Ratios in Obesity Literature: An Empirical Analysis of Published Studies
    • Tajeu, 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.
    • (2012) Obesity , vol.20 , Issue.8 , pp. 1726-1731
    • Tajeu, G.S.1    Sen, B.2    Allison, D.B.3    Menachemi, N.4
  • 21
    • 0033825852 scopus 로고    scopus 로고
    • Choice of Effect Measure for Epidemiological Data
    • Walter, S. D. 2000. “Choice of Effect Measure for Epidemiological Data.” Journal of Clinical Epidemiology 53 (9): 931–9.
    • (2000) Journal of Clinical Epidemiology , vol.53 , Issue.9 , pp. 931-939
    • Walter, S.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.