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Volumn 4, Issue 4, 2004, Pages 314-323

Classification of longitudinal profiles based on semi-parametric regression with mixed effects

Author keywords

cluster analysis; heterogeneity model; linear mixed effects model; nonparametric maximum likelihood; semi parametric regression

Indexed keywords


EID: 84993705061     PISSN: 1471082X     EISSN: None     Source Type: Journal    
DOI: 10.1191/1471082X04st082oa     Document Type: Article
Times cited : (9)

References (15)
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  • 2
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  • 7
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  • 8
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    • MacNab Y.C. and Dean C.B. (2001) Autoregressive spatial smoothing and temporal spline smoothing for mapping rates. Biometrics 57, 949-956.
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    • MacNab, Y.C.1    Dean, C.B.2
  • 9
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    • On the number of letters being sent. An application of semiparametric mixed models
    • Bilbao, Spain: Servicio Editorial de la Universidad del Pais Vasco.
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    • (2000) Proceedings of the 15th international workshop on statistical modelling
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    • A linear mixed-effects model with heterogeneity in the random-effects population
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  • 15
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    • The analysis of designed experiments and longitudinal data by using smoothing splines
    • Verbyla A.P., Cullis B.R., Kenward M.G. and Welham S.J. (1999) The analysis of designed experiments and longitudinal data by using smoothing splines. Applied Statistics 48, 269-311.
    • (1999) Applied Statistics , vol.48 , pp. 269-311
    • Verbyla, A.P.1    Cullis, B.R.2    Kenward, M.G.3    Welham, S.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.