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In examining the relationship between nutritional exposure and disease aetiology, the importance of a carefully considered experimental design cannot be overstated. A sound experimental design involves the formulation of a clear research hypothesis and the identification of appropriate measures of exposure and outcome. It is essential that these variables can be measured with a minimum of error, whilst taking into account the effects of chance and bias, and being aware of the risk of confounding variables. The first edition of Design Concepts in Nutritional Epidemiology presented a throrough guide to research methods in nutritional epidemiology. Since publication of the 1st edition, we now have a much better understanding of the characteristics of nutritional exposure that need to be measured in order to answer questions about diet-disease relationships. The 2nd edition has been extensively revised to include the most up-to-date methods of researching this relationship. Included are new chapters on qualitative and sociological measures, anthropometric measures, gene-nutrient interactions, and cross-sectional studies. Design Concepts in Nutritional Epidemiology will be an essential text for nutritionists and epidemiologists, helping them in their quest to improve the quality of information upon which important public health decisions are made.
This text investigates the methodological rigor required to accurately examine the relationship between nutritional exposure and disease etiology. Authors Barrie M. Margetts and Michael Nelson provide a comprehensive framework for researchers to formulate hypotheses, identify appropriate variables, and mitigate the impact of chance, bias, and confounding factors in nutritional studies. The work serves as a technical guide for designing experiments that yield reliable data for public health policy.
What You Will Find
Scope Limits
Experts and academics recognize this volume as a standard reference for professionals and graduate students in the fields of nutrition and epidemiology. Readers frequently note the technical density of the prose, which is tailored specifically for those engaged in formal research and public health data analysis.
Page Count:
472
Publication Date:
1997-05-29
Publisher:
Oxford University Press
ISBN-10:
0192627406
ISBN-13:
9780192627407
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