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teffects ipw (y) (z x), pom which assumes a logistic regression product with the procedure assignment mechanism, with x included for a predictor. See in this article for a nice paper within the propensity score method, plus some dialogue on its deserves relative to the regression adjustment technique.
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To estimate the chance ratio and also a assurance interval, we very first use teffects ra , coeflegend to discover the names that Stata has saved the estimates in:
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x,z was mis-specified, these kinds of that a slight bias was observed. In this case, the IPW or doubly robust estimators may be applied to get a regular estimate, presented the treatment assignment product is accurately Full Report specified.
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A comparatively simple different is to employ a logistic working product to estimating a danger ratio for remedy which adjusts for x. To accomplish this we 1st fit an acceptable logistic regression product for y, with x and z as predictors:
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Preferably the assignment to therapy groups would be randomized, as inside of a randomized controlled demo. As an example the techniques to occur, we very first simulate (in Stata) a sizable dataset which could come up inside of a randomized trial: