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Volumn 13, Issue 6, 2008, Pages 325-330

Usage of penalized maximum likelihood estimation method in medical research: An alternative to maximum likelihood estimation method

Author keywords

Bias shrinking; Logistic regression; Penalized maximum likelihood estimation

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CARDIOVASCULAR RISK; CONTROLLED STUDY; INTERMETHOD COMPARISON; INTERNAL BIAS; ISCHEMIC HEART DISEASE; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MEDICAL RESEARCH; PENALIZED MAXIMUM LIKELIHOOD METHOD; SMOKING;

EID: 63249087127     PISSN: 17351995     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (14)

References (15)
  • 6
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    • Fahrmeir L, Francis B, Gilchrist R, Tutz G, editors, New York: Springer-Verlag
    • Firth D. Bias reduction, the Jeffreys prior and GLIM. In: Fahrmeir L, Francis B, Gilchrist R, Tutz G, editors. Advances in GLIM and statistical modelling. New York: Springer-Verlag, 1992; 91-100.
    • (1992) Advances in GLIM and statistical modelling , pp. 91-100
    • Firth, D.1
  • 7
    • 0000867603 scopus 로고
    • Generalized linear models and Jeffreys priors: An iterative weighted least- squares approach
    • Dodge Y, Whittaker J, editors, Heidelberg: Physica-Verlag
    • Firth D. Generalized linear models and Jeffreys priors: an iterative weighted least- squares approach. In: Dodge Y, Whittaker J, editors. Computational statistics. Heidelberg: Physica-Verlag, 1992: 553-557.
    • (1992) Computational statistics , pp. 553-557
    • Firth, D.1
  • 8
    • 0002178053 scopus 로고
    • Bias reduction of maximum likelihood estimates
    • Firth D. Bias reduction of maximum likelihood estimates. Biometrika 1993; 80(1):27-38.
    • (1993) Biometrika , vol.80 , Issue.1 , pp. 27-38
    • Firth, D.1
  • 9
    • 0037187858 scopus 로고    scopus 로고
    • A modified score function estimator for multinomial logistic regression in small samples
    • Bull SB, Mak C, Greenwood C.M.T. A modified score function estimator for multinomial logistic regression in small samples. Computational Statistics and Data Analysis 2002; 39:57-74.
    • (2002) Computational Statistics and Data Analysis , vol.39 , pp. 57-74
    • SB, B.1    Mak, C.2    Greenwood, C.M.T.3
  • 10
    • 0037199788 scopus 로고    scopus 로고
    • A solution to the problem of separation in logistic regression
    • Heinze G, Schemper M. A solution to the problem of separation in logistic regression. Stat Med 2002; 21(16):2409-2419.
    • (2002) Stat Med , vol.21 , Issue.16 , pp. 2409-2419
    • Heinze, G.1    Schemper, M.2
  • 11
    • 0038634705 scopus 로고    scopus 로고
    • Fixing the nonconvergence bug in logistic regression with SPLUS and SAS
    • Heinze G, Ploner M. Fixing the nonconvergence bug in logistic regression with SPLUS and SAS. Computer Methods and Programs in Biomedicine 2003; 71:181-187.
    • (2003) Computer Methods and Programs in Biomedicine , vol.71 , pp. 181-187
    • Heinze, G.1    Ploner, M.2
  • 13
    • 63249133954 scopus 로고    scopus 로고
    • (http://www.meduniwien.ac.at/akh/imc/biometrie/programme/fl/)
  • 14
    • 0000555876 scopus 로고    scopus 로고
    • Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators
    • Greenland S. Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators. Biostatistics 2000; 1(1):113-122.
    • (2000) Biostatistics , vol.1 , Issue.1 , pp. 113-122
    • Greenland, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.