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An analysis of longitudinal binary data using generalized linear models

An analysis of longitudinal binary data using generalized linear models
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摘要 Objective: To analyze longitudinal binary data by using generalized linear models. The correlation between repeated measures were considered. The general method for analyzing longitudinal binary data was given. Methods: Generalized estimating equations (GEE) proposed by Zeger and Liang was used. For sevens covariance structures, one method was given for estimating regression and correlation parameters. Results: Regression and coerelation parameters were estimated simultaneously. A Set of program was finished and an example was illustrated. Conclusion: Longitudinal dsta often occur in medical researches and clinical trials. For solving the problem of correlation between repeated measures, it is necessary to use some special methods to cope with this Kind of data. Objective: To analyze longitudinal binary data by using generalized linear models. The correlation between repeated measures were considered. The general method for analyzing longitudinal binary data was given. Methods: Generalized estimating equations (GEE) proposed by Zeger and Liang was used. For sevens covariance structures, one method was given for estimating regression and correlation parameters. Results: Regression and coerelation parameters were estimated simultaneously. A Set of program was finished and an example was illustrated. Conclusion: Longitudinal dsta often occur in medical researches and clinical trials. For solving the problem of correlation between repeated measures, it is necessary to use some special methods to cope with this Kind of data.
出处 《Journal of Medical Colleges of PLA(China)》 CAS 2000年第1期69-72,共4页 中国人民解放军军医大学学报(英文版)
关键词 longitudinal MEASURE BINARY DATA GENERALIZED LINEAR MODEL longitudinal measure binary data generalized linear model
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参考文献5

  • 1Prentice RL.Correlated binary regression with covariates specific to each binary observation[].Biometrics.1988
  • 2Follman D.Modelling transitional and joint marginal distributions in repeated categori -cal data[].Statistics in Medicine.1994
  • 3Davis CS.Semi-parametric and non-parametric metods for the analysis of repeatedmeasurements with applications to clinical trials[].Statistics in Medicine.1991
  • 4Hendricks SA,Wassell JT,Collins JW et al.Power determination for geographical- lyclustered data using generalized estimating equations[].Statistics in Medicine.1996
  • 5Zeger SL,Liang KY.Longitudinal data analysis for discals and continuous outcomes[].Biometrics.1986

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