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A common requirement of statistical methods, critical to the interpretation of the data, is that the analyzed observations are independent. This is not always the case in experiments and clinical studies, a mistake which can be expected to lead to erroneous study results. The phenomenon is explained, its consequences described, and suggestions to avoid the problems presented.
