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Volumn 18, Issue 2, 1999, Pages 163-173

Estimating and comparing univariate associations with application to the prediction of adult obesity

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; CHILD; CHILDHOOD; COMPARATIVE STUDY; FEMALE; HIGH RISK POPULATION; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; OBESITY; PREDICTION; PROGNOSIS; RETROSPECTIVE STUDY; RISK FACTOR; STATISTICAL ANALYSIS;

EID: 0033616433     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19990130)18:2<163::AID-SIM11>3.0.CO;2-F     Document Type: Article
Times cited : (43)

References (6)
  • 1
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • Liang, K. Y. and Zeger, S. L. 'Longitudinal data analysis using generalized linear models', Biometrika, 73, 13-22 (1986).
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Liang, K.Y.1    Zeger, S.L.2
  • 5
    • 0022243714 scopus 로고
    • Health implications of obesity: National Institutes of Health Consensus Development Conference Statement
    • National Institutes of Health Consensus Development Panel on the Health Implications of Obesity. 'Health implications of obesity: National Institutes of Health Consensus Development Conference Statement', Annals of Internal Medicine, 103, 147-151 (1985).
    • (1985) Annals of Internal Medicine , vol.103 , pp. 147-151
  • 6
    • 84963132941 scopus 로고
    • A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data
    • Pepe, M. S. and Anderson, G. L. 'A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data', Communication in Statistics, Part B: Simulation and Computation, 23, 939-951 (1984).
    • (1984) Communication in Statistics, Part B: Simulation and Computation , vol.23 , pp. 939-951
    • Pepe, M.S.1    Anderson, G.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.