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Volumn 92, Issue 3, 2005, Pages 724-731

Minimum distance estimation for the logistic regression model

Author keywords

Biased sampling problem; Bounded influence; Case control data; Logistic regression; Minimum distance; Robust regression

Indexed keywords


EID: 24144463707     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/92.3.724     Document Type: Article
Times cited : (38)

References (11)
  • 2
    • 0001645443 scopus 로고
    • On robust estimation in the logistic regression model
    • CARROLL, R. J. & PEDERSON, S. (1993). On robust estimation in the logistic regression model. J. R. Statist. Soc. B 55, 693-706.
    • (1993) J. R. Statist. Soc. B , vol.55 , pp. 693-706
    • Carroll, R.J.1    Pederson, S.2
  • 3
    • 21844511466 scopus 로고
    • Prospective analysis of logistic case-control studies
    • CARROLL, R. J., WANG, S. & WANG, C. Y. (1995). Prospective analysis of logistic case-control studies. J. Am. Statist. Assoc. 90, 157-69.
    • (1995) J. Am. Statist. Assoc. , vol.90 , pp. 157-169
    • Carroll, R.J.1    Wang, S.2    Wang, C.Y.3
  • 5
    • 0000889845 scopus 로고
    • Binary regression models for contaminated data
    • COPAS, J. B. (1988). Binary regression models for contaminated data (with Discussion). J. R. Statist. Soc. B 50, 225-65.
    • (1988) J. R. Statist. Soc. B , vol.50 , pp. 225-265
    • Copas, J.B.1
  • 6
    • 0141993253 scopus 로고    scopus 로고
    • Implementing the Bianco and Yohai estimator for logistic regression
    • CROUX, C. & HAESBROECK, G. (2003). Implementing the Bianco and Yohai estimator for logistic regression. Comp. Statist. Data Anal. 44, 273-95.
    • (2003) Comp. Statist. Data Anal. , vol.44 , pp. 273-295
    • Croux, C.1    Haesbroeck, G.2
  • 8
    • 0000648982 scopus 로고
    • Conditionally unbiased bounded influence estimation in general regression models, with applications to generalized linear models
    • KÜNSCH, H. R., STEFANSKI, L. A. & CARROLL, R. J. (1989). Conditionally unbiased bounded influence estimation in general regression models, with applications to generalized linear models. J. Am. Statist. Assoc. 84, 460-6.
    • (1989) J. Am. Statist. Assoc. , vol.84 , pp. 460-466
    • Künsch, H.R.1    Stefanski, L.A.2    Carroll, R.J.3
  • 9
    • 0018671320 scopus 로고
    • Logistic disease incidence models and case-control studies
    • PRENTICE, R. L. & PYKE, R. (1979). Logistic disease incidence models and case-control studies Biometrika 66, 403-11.
    • (1979) Biometrika , vol.66 , pp. 403-411
    • Prentice, R.L.1    Pyke, R.2
  • 10
    • 0000209745 scopus 로고    scopus 로고
    • A goodness-of-fit test for logistic regression models based on case-control data
    • QIN, J. & ZHANG, B. (1997). A goodness-of-fit test for logistic regression models based on case-control data. Biometrika 84, 609-18.
    • (1997) Biometrika , vol.84 , pp. 609-618
    • Qin, J.1    Zhang, B.2
  • 11
    • 0000853114 scopus 로고
    • A lack-of-fit test for the mean function in a generalized linear model
    • SU, J. Q. & WEI, L. J. (1991). A lack-of-fit test for the mean function in a generalized linear model. J. Am. Statist. Assoc. 86, 420-6.
    • (1991) J. Am. Statist. Assoc. , vol.86 , pp. 420-426
    • Su, J.Q.1    Wei, L.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.