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.
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This volume is a review of methods used in human growth research. Aimed at junior and senior researchers in human biology, anthropology, epidemiology and paediatrics, it provides a minimum of the mathematics behind the methods, and focuses on concepts, possibilities, limitations and applications.
ROLAND HAUSPIE is Professor of Human Biology in the Laboratory of Anthropogenetics at the Free University of Brussels, Belgium. NOEL CAMERON is Professor of Human Biology in the Department of Human Sciences at Loughborough University, UK. LUCIANO MOLINARI is Senior Researcher in the Department of Paediatrics at the University Children's Hospital in Zurich, Switzerland.
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Condition: New. This volume is a review of methods used in human growth research. Editor(s): Hauspie, Roland C.; Cameron, Noel; Molinari, Luciano. Series: Cambridge Studies in Biological and Evolutionary Anthropology. Num Pages: 414 pages, black & white illustrations. BIC Classification: MFK; PSX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 21. Weight in Grams: 550. . 2011. 1st Edition. paperback. . . . . Seller Inventory # V9780521183819
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