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    Nonparametric statistical techniques and social medicine: a study about the effects of alluminium

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    The aim of this study is to investigate the effects on the neurocognitive system of the exposure to aluminium in welders. Tha main difficulties in finding the appropriate statistical technique are: 1) non normality of responses; 2) multidimensionality (multivariate response); 3) presence of confounding factors as age and length of service; 4) multivariate testing of hypotheses with restricted alternatives. We propose a global procedure to address the above problems. Such procedure is based on nonparametric techniques and post stratification

    Does the iodized salt therapy of pregnant mothers increase the children IQ? Empirical evidence of a statistical study based on permutation tests

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    The nutritional iodine deficiency disorders are still a major health problem in industrialized countries, but they are completely preventable by means of iodine prophylaxis. Iodine is essential for thyroid hormone (TH) synthesis and TH is required for normal brain development. Gestational iodine supplementation may improve infant cognitive development. In this study we aimed at evaluating the intelligence quotient of children born to mothers with different levels of iodine supplementation, with or without the administration of levothyroxine (LT4), prior to and during pregnancy. In particular we focused our attention on some mother–child pairs and we compared them according to iodized salt consumption and LT4 treatment. In this specific context, NPC test was applied to compare four groups of children, defined on the basis of maternal history related to iodized salt consumption and LT4 treatment. The results show that the deficit in functionality cognitive (in terms of intelligence quotient) is significantly higher in the children of mothers that does not make supplementation of iodized salt. This shows how a lack of iodine can hinder children in reaching their full intellectual potential. From a methodological point of view, our research showed the utility of the Non Parametric Combination test (NPC test) into analyze data concerning medical research

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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