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Efficiency Comparisons in Multivariate Multiple Regression with Missing Outcomes
1997
Journal of Multivariate Analysis
We consider a follow-up study in which an outcome variable is to be measured at fixed time points and covariate values are measured prior to start of follow-up. We assume that the conditional mean of the outcome given the covariates is a linear function of the covariates and is indexed by occasion-specific regression parameters. In this paper we study the asymptotic properties of several frequently used estimators of the regression parameters, namely the ordinary least squares (OLS), the
doi:10.1006/jmva.1997.1660
fatcat:qxdhc7j65rdctasjsaxtgfhtx4