Missing value imputation on missing completely at random data using multilayer perceptrons

On summary measures analysis of the line

On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random

✍ Roderick J. Little; Trivellore Raghunathan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates