Population- vs. individual-level differences

Imagine that a correlation is found between a biomarker and the presence or absence of a disease. It is proposed that this be used for diagnosis. Can it always?

(Betteridge’s law of headlines applies.)


After our recent exploration of the pitfalls of confidence intervals, how about a little foray into the world of P-values?

Confidence Intervals

Confidence intervals (CIs) are possibly one of the most misunderstood concepts in statistics, and that’s saying something. CIs are one of many approaches to interval estimation: that is, having decided on a model that is thought to explain how the data that we are seeing are generated, how to compute an interval that represents our estimate for one of the model’s parameters, along with the uncertainty that we have about it?