How Do Large Sample Sizes Affect Bias and Confounding?
Large sample sizes can help mitigate the effects of bias and confounding. While they do not eliminate these issues entirely, they allow for more robust statistical adjustments. For example, larger datasets enable the use of advanced statistical techniques to control for confounding variables. Additionally, larger samples are more likely to be representative of the population, minimizing selection bias.
