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then edit or push RET to execute. Such as, to execute the final command that referenced the variable
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A relatively simple alternative is to employ a logistic Functioning design to estimating a risk ratio for cure which adjusts for x. To achieve this we very first in shape an ideal logistic regression design for y, with x and z as predictors:
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teffects ipw (y) (z x), pom which assumes a logistic regression design for that treatment assignment mechanism, with x bundled as a predictor. See here for a nice paper over the propensity rating solution, and many dialogue on its merits relative to the regression adjustment method.
x,z follows a log-website link GLM, with additive consequences of x and z.
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