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Volumn 90, Issue 1, 2003, Pages 239-244

On modelling mean-covariance structures in longitudinal studies

Author keywords

Cholesky decomposition; Global optimisation; Joint mean covariance model; Longitudinal data analysis

Indexed keywords

BOS TAURUS;

EID: 3843133868     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/90.1.239     Document Type: Article
Times cited : (136)

References (8)
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  • 3
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    • Multilevel time series models with applications to repeated measures data
    • GOLDSTEIN, H., HEALY, M. J. R. & RASBASH, J. (1994). Multilevel time series models with applications to repeated measures data. Statist. Med. 13, 1643-55.
    • (1994) Statist. Med. , vol.13 , pp. 1643-1655
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  • 4
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    • A method for comparing profiles of repeated measurements
    • KENWARD, M. G. (1987). A method for comparing profiles of repeated measurements. Appl. Statist. 36, 296-308.
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    • Kenward, M.G.1
  • 6
    • 0012806293 scopus 로고    scopus 로고
    • Joint mean-covariance models with applications to longitudinal data: Unconstrained parameterisation
    • POURAHMADI, M. (1999). Joint mean-covariance models with applications to longitudinal data: Unconstrained parameterisation. Biometrika 86, 677-90.
    • (1999) Biometrika , vol.86 , pp. 677-690
    • Pourahmadi, M.1
  • 7
    • 0001304198 scopus 로고    scopus 로고
    • Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
    • POURAHMADI, M. (2000). Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix. Biometrika 87, 425-35.
    • (2000) Biometrika , vol.87 , pp. 425-435
    • Pourahmadi, M.1
  • 8
    • 84972500273 scopus 로고
    • Prediction of future observations in growth curve models
    • RAO, C. R. (1987). Prediction of future observations in growth curve models (with Discussion). Statist. Sci. 2, 434-71.
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    • Rao, C.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.