文章基本信息

标题：Sensitivity analysis for unmeasured confounders using an electronic spreadsheet
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作者：Maria Deolinda Borges Cabral ; Ronir Raggio Luiz
期刊名称：Revista de Saúde Pública
印刷版ISSN：0034-8910
出版年度：2007
卷号：41
期号：3
页码：446-452
语种：English
出版社：Universidade de São Paulo
摘要：In studies assessing the effects of a given exposure variable and a specifi c outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential infl uence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.
其他摘要：In studies assessing the effects of a given exposure variable and a specifi c outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential infl uence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.
关键词：Statistical interpretation of data; Sensitivity analysis; Confounding (Epidemiology); Observational studies; Electronic spreadsheet.
其他关键词：Statistical interpretation of data; Sensitivity analysis; Confounding (Epidemiology); Observational studies; Electronic spreadsheet.