Peter C. Austin in his new article The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies compares a number of different propensity score approaches for modeling risk differences. Curiously, inverse probability of treatment weighting out-performed matching on propensity scores. My intuition is that they would have had similar levels of accuracy and bias.
It's going to be interesting to think about why this result holds.
Neat stuff -- go, read and enjoy!
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