1,721,806 research outputs found

    Il linguaggio GLIM

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    Breve introduzione al meta-linguaggio GLIM con esempi esplicativi all'analisi di dati biomedic

    Diversity indices and analysis of diet-cancer relationship

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    In epidemiologiacl studies concerning chronic disease, more often it is common to evaluate the relatioship between dietary habits, expressed as absolute intake of different nutrient/foods, and risk of disease. Total intake of a nutrient is usually scatterd among many food items and the modalities with which a nutrient is assimilated in the diet may act as a modifier of its impact on the risk. It would be of interst to quantify the different patterns of nutrients intake. This could be done by characterizing each nutrient assimilated in the diet with a diversity index to measure its degree of dispersion

    Compositional data analysis and diversity indicies: different approaches to define the role of nutrients in the study of diet-cancer relationship

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    In epidemiological studies the relationship between diet and risk of disease is usually investigated considering the absolute intake of nutrients/foods (often opportunely coded in categories of increasing consumption). The total intake of a nutrient is usually scattered among different food items and the modalities of intake could influence the impact on the risk. In order to evaluate the impact of nutrient dispersion on risk we suggest two different approaches: a) in the first each nutrient is described with a couple of variables rapresenting the estimated absolute intake (Z) and a diversity index (d) measuring the dispersion intake on different dietary sources; b) the second approach is based on standard techniques used in analysis of compositional data
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