Longitudinal Data with Intermittent Missing Values: A Sensitivity Analysis Approach

A Selection model for longitudinal data with non-ignorable non-monotone missing Values

Treatments comparison in longitudinal clinical trials with informative dropouts

Using the Stochastic EM Algorithm for the Normal Random-Effects Model in Longitudinal Data with Intermittent Missing Values

Modeling correlated Missing Data

Latent Gaussian Approach to Joint Modelling of Longitudinal and Mixture Cure Outcomes

Detection of Outliers in Mixed Model Analysis

Adaptive Interval Estimation of the Mean in Unbalanced One-Way Random Effects Models

Estimation Procedures in Linear Mixed Effects Models for Repeated Measures Data

On the Performance of Some Methods for Handling Missing Values in Classification Analysis.