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Weights used for IPTW are calculated as following: weight <- ifelse (treat==1, 1/(ps), 1/(1-ps)) Every subject in the dataset can be weighted with aforementioned method (every subject does get a specific weight, calculated as above), but I see no place to put the weights in the 'normal' Cox regression formula. May 10, 2017 · (1) The output for the outcome models, weighted both for design effects and IPTW, reports a Population Size of 21.261939. The actual population size for these data, after weighting, is (2) The difference between the coefficient returned by the model under IPTW and that returned through the DR process is, in many cases, very large: much larger ...

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