Intro to Biostatistics
Sampling bias refers to a systematic error that occurs when certain members of a population are less likely to be included in a sample than others. This can lead to results that do not accurately reflect the characteristics of the entire population, skewing data and potentially impacting the conclusions drawn from a study. In the context of statistical analyses, such as logistic regression, sampling bias can significantly distort the relationships between variables and affect predictive accuracy.
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