Stabilized Weights

Stabilized weighting is another technique for reducing the variance of the causal effect estimate. When this box is not checked, weights are calculated by using the following equations:

w = 1/p(X|Z)

where

X is the binary treatment variable

Z is the set of pretreatment covariates that are specified in the treatment model

p(X|Z) is the probability of receiving treatment given covariates Z, calculated using the fitted treatment model.

Alternatively, stabilized weights are calculated by using the following equation:

wstabilized = p(X)/p(X|Z)

where p(X) is the marginal probability of receiving treatment, calculated by using a fitted intercept-only model.

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