Some purely methodological comments are made on the pitfalls and difficulties in making causal inferences from observational data, including in studies of disparity in medicine. The ideas of spurious correlation and measurement error are discussed with an eye towards their impact upon inferences about causality, and cautions are offered about over-reliance upon testing hypotheses.


Back To Top

This website uses cookies to ensure you get the best experience on our website. Without cookies your experience may not be seamless.