Inverse Probability Weighting (IPW) is a statistical method used to correct for bias in observational studies. It allows researchers to estimate causal effects by reweighting the sample to mimic a randomized controlled trial. This is particularly valuable in cancer research because randomized trials are often impractical or unethical.
