Rubin's rules
= Rubin's rules
{c}
{title2=$T=\overline U+(1+M^{-1})B$}
For $M>1$ completed-data estimates $Q_m$ with variances $U_m$, pool using $\overline Q=M^{-1}\sum_mQ_m$, $\overline U=M^{-1}\sum_mU_m$, $B=(M-1)^{-1}\sum_m(Q_m-\overline Q)^2$, and $T=\overline U+(1+M^{-1})B$. The total <variance> includes within-imputation uncertainty, between-imputation uncertainty and finite-$M$ simulation uncertainty.