Inverse probability weighting is a statistical technique used to adjust the weights of survey data to correct for bias that arises from non-random sampling or nonresponse. By assigning weights inversely proportional to the probability of selection, this method helps ensure that the sample more accurately represents the population. This technique is especially useful when certain subgroups are underrepresented, allowing researchers to make more valid inferences from the data.
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