Covariate-dependent missing at random
= Covariate-dependent missing at random
{title2=$f(R\mid Y^o,Y^m,X)=f(R\mid Y^o,X)$}
= CD-MAR
{c}
{synonym}
For each fixed observation pattern, the probability of that pattern may depend on observed response components and fully observed <covariates>, but not on the response components missing under that pattern. Conditional <missing completely at random> is the special case with no dependence on observed response components either.