Review of Models Suitable for the Analysis of Longitudinal Data

  • E. Marubini


As pointed out previously (Marubini, 1978), it is widely accepted in growth studies that the average of the growth curves of a set of subjects is perfectly appropriate for the investigation of the distribution of various anthropometric variables (height, weight, sitting height, etc.) at different ages, for drawing the average growth curve of the population, for preparing ‘distance’ standards and for studying the relationship between some important features of growth and other important variables, e.g. social class levels and size of family. For this reason, provided that the mean growth curve does not change with time, it is immaterial whether the data is gathered by means of cross-sectional or longitudinal studies. However, the crucial requirement is that the sample dimensions are sufficiently large to evaluate pertinent statistics with predetermined reliability.


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Copyright information

© Springer Science+Business Media New York 1984

Authors and Affiliations

  • E. Marubini
    • 1
  1. 1.Istituto di Biometria e Statistica MedicaUniversità degli StudiMilanoItaly

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