Confounding

Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane
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Abstract

An apparent relationship between a disease and a risk factor may be explained (confounded) by their joint association with an intermediate third ‘true’ risk factor. The issue here is not one of impaired validity; if the study had been carefully conducted then the relationship observed was correct and the problem of confounding is therefore one of interpretation. Confounding can only be proved after appropriate analysis. Further confounding as an explanation of an association is not (or is only extremely rarely) an all-or-nothing phenomenon. The effect of confounding will be, more usually, to alter the strength of an apparent relationship between two variables (e.g. risk factor and disease).
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混淆
一种疾病和一种危险因素之间的明显关系可以通过它们与中间第三种“真正的”危险因素的共同关联来解释(混淆)。这里的问题不是有效性受损的问题;如果研究是仔细进行的,那么观察到的关系是正确的,因此混淆的问题是一个解释问题。只有经过适当的分析才能证明混淆。进一步混淆作为一种关联的解释,并不是(或极少是)孤注一掷的现象。混淆的效果通常是改变两个变量(例如,风险因素和疾病)之间明显关系的强度。
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Preparation of collected primary data for statistical analysis Obtaining valid information Comparing rates between and within populations Collecting information Which type of epidemiological study?
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