Independence of observations refers to the assumption that the data points collected in a study are not influenced by each other. This means that the value of one observation does not affect or predict the value of another. This concept is crucial in statistical analyses, particularly when it comes to ensuring that models, such as those used in binary logistic regression, yield valid and reliable results.
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