메뉴 건너뛰기




Volumn 9, Issue 2, 2009, Pages 175-196

Methods for estimating adjusted risk ratios

Author keywords

Odds ratio; Risk ratio; StO162

Indexed keywords


EID: 68949111978     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0900900201     Document Type: Article
Times cited : (261)

References (56)
  • 2
    • 2942735430 scopus 로고    scopus 로고
    • Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio
    • Barros, A. J. D., and V. N. Hirakata. 2003. Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio. BioMed Central Medical Research Methodology 3: 21. http://www.biomedcentral.eom/1471-2288/3/21.
    • (2003) BioMed Central Medical Research Methodology , vol.3 , pp. 21
    • Barros, A.J.D.1    Hirakata, V.N.2
  • 3
    • 33644688570 scopus 로고    scopus 로고
    • Parameter estimation and goodness-of-fit in log binomial regression
    • Blizzard, L., and D. W. Hosmer. 2006. Parameter estimation and goodness-of-fit in log binomial regression. Biometrical Journal 48: 5-22.
    • (2006) Biometrical Journal , vol.48 , pp. 5-22
    • Blizzard, L.1    Hosmer, D.W.2
  • 4
    • 0034657861 scopus 로고    scopus 로고
    • Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians
    • Carpenter, J., and J. Bithell. 2000. Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians. Statistics in Medicine 19: 1141-1164.
    • (2000) Statistics in Medicine , vol.19 , pp. 1141-1164
    • Carpenter, J.1    Bithell, J.2
  • 5
    • 21644468954 scopus 로고    scopus 로고
    • Quasi-likelihood estimation for relative risk regression models
    • Carter, R. E., S. R. Lipsitz, and B. C. Tilley. 2005. Quasi-likelihood estimation for relative risk regression models. Biostatistics 6: 39-44.
    • (2005) Biostatistics , vol.6 , pp. 39-44
    • Carter, R.E.1    Lipsitz, S.R.2    Tilley, B.C.3
  • 7
    • 0036896766 scopus 로고    scopus 로고
    • Advanced statistics: Up with odds ratios! A case for odds ratios when outcomes are common
    • Cook, T. D. 2002. Advanced statistics: Up with odds ratios! A case for odds ratios when outcomes are common. Academic Emergency Medicine 9: 1430-1434.
    • (2002) Academic Emergency Medicine , vol.9 , pp. 1430-1434
    • Cook, T.D.1
  • 8
    • 84873755208 scopus 로고
    • A method of estimating comparative rates from clinical data: Applications to cancer of the lung, breast, and cervix
    • Cornfield, J. 1951. A method of estimating comparative rates from clinical data: Applications to cancer of the lung, breast, and cervix. Journal of the National Cancer Institute 11: 1269-1275.
    • (1951) Journal of the National Cancer Institute , vol.11 , pp. 1269-1275
    • Cornfield, J.1
  • 10
    • 33748704820 scopus 로고    scopus 로고
    • Analysis of matched cohort data
    • Cummings, P., and B. McKnight. 2004. Analysis of matched cohort data. Stata Journal 4: 274-281.
    • (2004) Stata Journal , vol.4 , pp. 274-281
    • Cummings, P.1    McKnight, B.2
  • 14
  • 16
    • 0023257539 scopus 로고
    • Large sample confidence intervals for regression standardized risks, risk ratios, and risk differences
    • Flanders, W. D., and P. H. Rhodes. 1987. Large sample confidence intervals for regression standardized risks, risk ratios, and risk differences. Journal of Chronic Diseases 40: 697-704.
    • (1987) Journal of Chronic Diseases , vol.40 , pp. 697-704
    • Flanders, W.D.1    Rhodes, P.H.2
  • 17
    • 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: 431-444.
    • (1984) Biometrika , vol.71 , pp. 431-444
    • Gail, M.H.1    Wieand, S.2    Piantadosi, S.3
  • 18
    • 0001300935 scopus 로고
    • Pseudo maximum likelihood methods: Theory
    • Gourieroux, C, A. Monfort, and A. Trognon. 1984a. Pseudo maximum likelihood methods: Theory. Econometrica 52: 681-700.
    • (1984) Econometrica , vol.52 , pp. 681-700
    • Gourieroux, C.1    Monfort, A.2    Trognon, A.3
  • 19
    • 0001300935 scopus 로고
    • Pseudo maximum likelihood methods: Applications to Poisson models
    • -. 1984b. Pseudo maximum likelihood methods: Applications to Poisson models. Econometrica 52: 701-720.
    • (1984) Econometrica , vol.52 , pp. 701-720
    • Gourieroux, C.1    Monfort, A.2    Trognon, A.3
  • 20
    • 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: 761-768.
    • (1987) American Journal of Epidemiology , vol.125 , pp. 761-768
    • Greenland, S.1
  • 21
    • 0025860772 scopus 로고
    • Estimating standardized parameters from generalized linear models
    • -. 1991a. Estimating standardized parameters from generalized linear models.Statistics in Medicine 10:1069-1074.
    • (1991) Statistics in Medicine , vol.10 , pp. 1069-1074
    • Greenland, S.1
  • 23
    • 3843072366 scopus 로고    scopus 로고
    • Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies
    • -. 2004a. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies. American Journal of Epidemiology 160: 301-305.
    • (2004) American Journal of Epidemiology , vol.160 , pp. 301-305
    • Greenland, S.1
  • 24
    • 12344333545 scopus 로고    scopus 로고
    • Interval estimation by simulation as an alternative to and extension of confidence intervals
    • -. 2004b. Interval estimation by simulation as an alternative to and extension of confidence intervals. International Journal of Epidemiology 33: 1389-1397.
    • (2004) International Journal of Epidemiology , vol.33 , pp. 1389-1397
    • Greenland, S.1
  • 25
    • 0025753521 scopus 로고
    • Estimating standardized risk differences from odds ratios
    • Greenland, S., and P. W. Holland. 1991. Estimating standardized risk differences from odds ratios. Biometrics 47: 319-322.
    • (1991) Biometrics , vol.47 , pp. 319-322
    • Greenland, S.1    Holland, P.W.2
  • 26
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland, S., J. M. Robins, and J. Pearl. 1999. Confounding and collapsibility in causal inference. Statistical Science 14: 29-46.
    • (1999) Statistical Science , vol.14 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 27
    • 0019995860 scopus 로고
    • On the need for the rare disease assumption in case-control studies
    • Greenland, S., and D. C. Thomas. 1982. On the need for the rare disease assumption in case-control studies. American Journal of Epidemiology 116: 547-553.
    • (1982) American Journal of Epidemiology , vol.116 , pp. 547-553
    • Greenland, S.1    Thomas, D.C.2
  • 29
    • 0031777876 scopus 로고    scopus 로고
    • Should we adjust for covariates in nonlinear regression analyses of randomized trials?
    • Hauck, W. W., S. Anderson, and S. M. Marcus. 1998. Should we adjust for covariates in nonlinear regression analyses of randomized trials? Controlled Clinical Trials 19: 249-256.
    • (1998) Controlled Clinical Trials , vol.19 , pp. 249-256
    • Hauck, W.W.1    Anderson, S.2    Marcus, S.M.3
  • 30
    • 0024428552 scopus 로고
    • A note on the covariance of the Mantel-Haenszel log-odds-ratio estimator and the sample marginal rates
    • Holland, P. W. 1989. A note on the covariance of the Mantel-Haenszel log-odds-ratio estimator and the sample marginal rates. Biometrics 45: 1009-1016.
    • (1989) Biometrics , vol.45 , pp. 1009-1016
    • Holland, P.W.1
  • 31
    • 0029052663 scopus 로고
    • Standardized estimates from categorical regression models
    • Joffe, M. M., and S. Greenland. 1995. Standardized estimates from categorical regression models. Statistics in Medicine 14: 2131-2141.
    • (1995) Statistics in Medicine , vol.14 , pp. 2131-2141
    • Joffe, M.M.1    Greenland, S.2
  • 33
    • 0020334306 scopus 로고
    • Analysis of covariance and standardization as instances of prediction
    • Lane, P. W., and J. A. Nelder. 1982. Analysis of covariance and standardization as instances of prediction. Biometrics 38: 613-621.
    • (1982) Biometrics , vol.38 , pp. 613-621
    • Lane, P.W.1    Nelder, J.A.2
  • 34
    • 68949144505 scopus 로고    scopus 로고
    • Levin, B. 1991. Letter to the editor. American Journal of Epidemiology 133: 963-964. Lloyd, C. J. 1999. Statistical Analysis of Categorical Data. New York: Wiley.
    • Levin, B. 1991. Letter to the editor. American Journal of Epidemiology 133: 963-964. Lloyd, C. J. 1999. Statistical Analysis of Categorical Data. New York: Wiley.
  • 35
    • 34547659742 scopus 로고    scopus 로고
    • Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression
    • Localio, A. R., D. J. Margolis, and J. A. Berlin. 2007. Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression. Journal of Clinical Epidemiology 60: 874-882.
    • (2007) Journal of Clinical Epidemiology , vol.60 , pp. 874-882
    • Localio, A.R.1    Margolis, D.J.2    Berlin, J.A.3
  • 37
    • 84959801619 scopus 로고
    • Statistical aspects of the analysis of data from retrospective studies of disease
    • Mantel, N., and W. Haenszel. 1959. Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 22: 719-748.
    • (1959) Journal of the National Cancer Institute , vol.22 , pp. 719-748
    • Mantel, N.1    Haenszel, W.2
  • 38
    • 0037541565 scopus 로고    scopus 로고
    • Estimating the relative risk in cohort studies and clinical trials of common outcomes
    • McNutt, L.-A., C. Wu, X. Xue, and J. P. Hafner. 2003. Estimating the relative risk in cohort studies and clinical trials of common outcomes. American Journal of Epidemiology 157: 940-943.
    • (2003) American Journal of Epidemiology , vol.157 , pp. 940-943
    • McNutt, L.-A.1    Wu, C.2    Xue, X.3    Hafner, J.P.4
  • 40
    • 68949101563 scopus 로고    scopus 로고
    • Nelder, J. A. 2001. Letter to the editor. Statistics in Medicine 20: 2205. Newman, S. C. 2001. Biostatistical Methods in Epidemiology. New York: Wiley.
    • Nelder, J. A. 2001. Letter to the editor. Statistics in Medicine 20: 2205. Newman, S. C. 2001. Biostatistical Methods in Epidemiology. New York: Wiley.
  • 41
    • 0000781249 scopus 로고
    • Asymptotic efficiency of general noniterative estimators of common relative risk
    • Nurminen, M. 1981. Asymptotic efficiency of general noniterative estimators of common relative risk. Biometrika 68: 525-530.
    • (1981) Biometrika , vol.68 , pp. 525-530
    • Nurminen, M.1
  • 44
    • 0036789791 scopus 로고    scopus 로고
    • What's the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes
    • Robbins, A. S., S. Y. Chao, and V. P. Fonseca. 2002. What's the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes. Annals of Epidemiology 12: 452-454.
    • (2002) Annals of Epidemiology , vol.12 , pp. 452-454
    • Robbins, A.S.1    Chao, S.Y.2    Fonseca, V.P.3
  • 45
    • 0025216494 scopus 로고
    • Case-control designs in the study of common diseases: Updates on the demise of the rare disease assumption and the choice of sampling scheme for controls
    • Rodrigues, L., and B. R. Kirkwood. 1990. Case-control designs in the study of common diseases: Updates on the demise of the rare disease assumption and the choice of sampling scheme for controls. International Journal of Epidemiology 19: 205-213.
    • (1990) International Journal of Epidemiology , vol.19 , pp. 205-213
    • Rodrigues, L.1    Kirkwood, B.R.2
  • 50
    • 0034069039 scopus 로고    scopus 로고
    • Clinical trials in acute myocardial infarction: Should we adjust for baseline characteristics?
    • Steyerberg, E. W., P. M. Bossuyt, and K. L. Lee. 2000. Clinical trials in acute myocardial infarction: Should we adjust for baseline characteristics? American Heart Journal 139: 745-751.
    • (2000) American Heart Journal , vol.139 , pp. 745-751
    • Steyerberg, E.W.1    Bossuyt, P.M.2    Lee, K.L.3
  • 51
    • 0019359389 scopus 로고
    • On summary estimators of relative risk
    • Tarone, R. E. 1981. On summary estimators of relative risk. Journal of Chronic Diseases 34: 463-468.
    • (1981) Journal of Chronic Diseases , vol.34 , pp. 463-468
    • Tarone, R.E.1
  • 52
    • 0022629577 scopus 로고
    • Binomial regression in GLIM: Estimating risk ratios and risk differences
    • Wacholder, S. 1986. Binomial regression in GLIM: Estimating risk ratios and risk differences. American Journal of Epidemiology 123: 174-184.
    • (1986) American Journal of Epidemiology , vol.123 , pp. 174-184
    • Wacholder, S.1
  • 55
    • 0032544993 scopus 로고    scopus 로고
    • What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes
    • Zhang, J., and K. F. Yu. 1998. What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. Journal of the American Medical Association 280: 1690-1691.
    • (1998) Journal of the American Medical Association , vol.280 , pp. 1690-1691
    • Zhang, J.1    Yu, K.F.2
  • 56
    • 1642420994 scopus 로고    scopus 로고
    • A modified Poisson regression approach to prospective studies with binary data
    • Zou, G. 2004. A modified Poisson regression approach to prospective studies with binary data. American Journal of Epidemiology 159: 702-706.
    • (2004) American Journal of Epidemiology , vol.159 , pp. 702-706
    • Zou, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.