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Review of Models Suitable for the Analysis of Longitudinal Data

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Human Growth and Development

Abstract

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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Author information

Authors and Affiliations

  1. Istituto di Biometria e Statistica Medica, Università degli Studi, Milano, Italy

    E. Marubini

Authors
  1. E. Marubini
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Editor information

Editors and Affiliations

  1. HILOK, Laboratory of Human Biometry and Biomechanics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    J. Borms  & M. Hebbelinck  & 

  2. Laboratory of Anthropogenetics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    R. Hauspie

  3. Ecole de Santé Publique, Université Libre de Bruxelles, Route de Lennik 808, 1070, Brussels, Belgium

    E. A. Sand

  4. Laboratory Anthropogenetics, Free University of Brussels, Pleinlaan 2, 1050, Brussels, Belgium

    C. Susanne

  5. Free University of Brussels, Brussels, Belgium

    J. Borms , R. Hauspie , E. A. Sand , C. Susanne  & M. Hebbelinck , , ,  & 

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© 1984 Springer Science+Business Media New York

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Marubini, E. (1984). Review of Models Suitable for the Analysis of Longitudinal Data. In: Borms, J., Hauspie, R., Sand, E.A., Susanne, C., Hebbelinck, M. (eds) Human Growth and Development. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0743-4_77

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  • DOI: https://doi.org/10.1007/978-1-4757-0743-4_77

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-0745-8

  • Online ISBN: 978-1-4757-0743-4

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