Likelihood based frequentist inference when data are missing at random
Likelihood based frequentist inference when data are missing at random
One of the most often quoted results from the original work of Rubin and Little on the classification of missing value processes is the validity of likelihood based inferences under missing at random (MAR) mechanisms. Although the sense in which this result holds was precisely defined by Rubin, and explored …