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Volumn 81, Issue 3, 2011, Pages 438-445

A note on improving quadratic inference functions using a linear shrinkage approach

Author keywords

Clinical trials; Estimation efficiency; Generalized estimating equations; Longitudinal data; Shrinkage

Indexed keywords


EID: 78650928361     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2010.12.010     Document Type: Article
Times cited : (20)

References (11)
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    • (2010)
    • Hu, Y.1    Song, P.X.-K.2
  • 4
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  • 5
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    • On the generation of correlated artificial binary data. Working Paper Series. SFB Adaptive Information Systems and Modelling in Economics and Management Science, Vienna University of Economics
    • Leisch, F., Weingessel, A., Hornik, K., 1998. On the generation of correlated artificial binary data. Working Paper Series. SFB Adaptive Information Systems and Modelling in Economics and Management Science, Vienna University of Economics. http://www.wu-wien.ac.at/am.
    • (1998)
    • Leisch, F.1    Weingessel, A.2    Hornik, K.3
  • 6
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalised linear models
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  • 7
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    • A random matrix-theoretic approach to handling singular covariance estimates
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    • (2010)
    • Marzetta, T.L.1    Tucci, G.H.2    Simon, S.H.3
  • 8
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    • Improving generalised estimating equations using quadratic inference functions
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  • 9
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    • Assessing robustness of generalised estimating equations and quadratic inference functions
    • Qu A., Song P.X.-K. Assessing robustness of generalised estimating equations and quadratic inference functions. Biometrika 2004, 91:447-459.
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    • Qu, A.1    Song, P.X.-K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.