= MAR standardization over a fully observed covariate
{c}
{title2=$\widehat\theta=\sum_x\widehat p_x\widehat m_x$}
= Stratified estimation under missing at random
{synonym}
When a response $Y$ is <missing at random> conditional on a fully observed category $X$, with positive response <probability> in every occupied category, estimate its <conditional probabilities> using respondents within each category and average them with the category frequencies from all patients. For a <binary variable>[binary] response, $\widehat P(Y=1)=\sum_x\widehat P(X=x)\widehat P(Y=1\mid X=x,R=1)$. The weighting uses the full cohort rather than only <complete-case analysis>[complete cases].
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