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Volumn 15, Issue 16, 1996, Pages 1793-1806

A comparison of statistical methods for clustered data analysis with Gaussian error

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL TRIAL; CLUSTER ANALYSIS; CONTROLLED CLINICAL TRIAL; DATA ANALYSIS; INTERMETHOD COMPARISON; RANDOMIZED CONTROLLED TRIAL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0029765531     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19960830)15:16<1793::AID-SIM332>3.0.CO;2-2     Document Type: Article
Times cited : (122)

References (15)
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    • Estimation in generalized linear models with random effects
    • Schall, R. 'Estimation in generalized linear models with random effects', Biometrika, 40, 917-927 (1991).
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    • Maximum likelihood variance components estimation for binary data
    • McCulloch, C. E. 'Maximum likelihood variance components estimation for binary data', Journal of the American Statistical Association, 89, 330-335 (1994).
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    • McCulloch, C.E.1
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    • Longitudinal data analysis using generalized linear models
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  • 9
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    • Neuhaus, J. M., Kalbfleisch, J. D. and Hauck, W. W. 'A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data', International Statistical Review, 59, 25-35 (1991).
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    • Neuhaus, J.M.1    Kalbfleisch, J.D.2    Hauck, W.W.3
  • 10
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    • A comparison of the generalized estimating equation approach with the maximum likelihood approach for repeated measurements
    • Park, T. 'A comparison of the generalized estimating equation approach with the maximum likelihood approach for repeated measurements', Statistics in Medicine, 12, 1723-1732 (1993).
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    • Park, T.1
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    • Mixed-effects nonlinear regression for unbalanced repeated measures
    • Vonesh, E. F. and Carter, R. L. 'Mixed-effects nonlinear regression for unbalanced repeated measures', Biometrics, 48, 1-17 (1992).
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    • Vonesh, E.F.1    Carter, R.L.2
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    • The jackknife and the bootstrap for general stationary observations
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    • Efficient inference for random coefficient growth curve models with unbalanced data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.