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Methods in Human Growth Research
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Methods in Human Growth Research

Methods in Human Growth Research

Roland C. Hauspie, Noël Cameron, Luciano Molinari

400 pages, parution le 07/06/2004

Résumé

In order to gain an understanding of the dynamics of human individual and average growth patterns it is essential that the right methods are selected. There are a variety of methods available to analyse individual growth patterns, to estimate variation in different growth measures in populations and to relate genetic and environmental factors to individual and average growth. This volume provides an overview of modern techniques for the assessment and collection of growth data and methods of analysis for individual and population growth data. The book contains the basic mathematical and statistical tools required to understand the concepts of the methods under discussion and worked examples of analyses, but it is neither a mathematical treatise, nor a recipe book for growth data analysis. Aimed at junior and senior researchers involved in the analysis of human growth data, this book will be an essential reference for anthropologists, auxologists and paediatricians.

Contributors
G. Gilli, J. H. Himes, L. Molinari, T. Gasser, E. A. Frongillo, N. Cameron, B. Zemel, E. Barden, D. Gervini, R. C. Hauspie, R. D. Bock, H. C. du Toit, G. Verleye, M.-J. Ireton, J. C. Carrillo, A. Baxter-Jones, B. Mirwald, S. A. Czerwinski, B. Towne, J. K. Vermunt, J. A. Hagenaars

Sommaire

  • Growth data and growth studies: characteristics and methodological issues
    • Why study child growth and maturation?
    • The human growth curve: distance, velocity and acceleration
    • Sampling for growth studies and using growth data to assess, monitor and survey disease in epidemiological settings
    • Measuring growth
    • Measuring maturity
    • Measuring body composition
  • Non-parametric and parametric approaches for individual growth
    • Kernel estimation, shape-invariant modelling and structural analysis
    • Parametric models for postnatal erowrti
    • Parameter estimation in the context of non-linear longitudinal growth models
  • Methods for population growth
    • Univariate and bivariate growth references
    • Latent variables and structural equation models
    • Multilevel modelling
  • Special topics
    • Methods for the study of the genetics of growth and development
    • Prediction
    • Ordinal longitudinal data analysis
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Caractéristiques techniques

  PAPIER
Éditeur(s) Cambridge University Press
Auteur(s) Roland C. Hauspie, Noël Cameron, Luciano Molinari
Parution 07/06/2004
Nb. de pages 400
Format 15,5 x 23,5
Couverture Relié
Poids 820g
Intérieur Noir et Blanc
EAN13 9780521820509
ISBN13 978-0-521-82050-9

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