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Volumn 7, Issue 2, 2007, Pages 209-220

QIC program and model selection in GEE analyses

Author keywords

Akaike's information criterion; GEE; Likelihood; Model; Qic; Quasilikelihood under the independence model criterion; St0126

Indexed keywords


EID: 36849078144     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0700700205     Document Type: Article
Times cited : (332)

References (16)
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    • Akaike, H.1
  • 2
    • 36849056475 scopus 로고    scopus 로고
    • Center for Human Resource Research. 1989. National Longitudinal Survey of Labor Market Experience, Young Women 14-26 years of age in 1968. Ohio State University.
    • Center for Human Resource Research. 1989. National Longitudinal Survey of Labor Market Experience, Young Women 14-26 years of age in 1968. Ohio State University.
  • 8
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • Liang, K.-Y., and S. L. Zeger. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73: 13-22.
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Liang, K.-Y.1    Zeger, S.L.2
  • 11
    • 0035102570 scopus 로고    scopus 로고
    • Akaike's information criterion in generalized estimating equations
    • Pan, W. 2001. Akaike's information criterion in generalized estimating equations. Biometrics 57: 120-125.
    • (2001) Biometrics , vol.57 , pp. 120-125
    • Pan, W.1
  • 15
    • 0016335739 scopus 로고
    • Quasilikelihood functions, generalized linear models, and the Gauss-Newton method
    • Wedderburn, R. W. M. 1974. Quasilikelihood functions, generalized linear models, and the Gauss-Newton method. Biometrika 61: 439-447.
    • (1974) Biometrika , vol.61 , pp. 439-447
    • Wedderburn, R.W.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.