A full likelihood method is proposed to analyse continuous longitudinal data with nonignorable (informative) missing values and non-monotone patterns. The problem arose in a breast cancer clinical ...

The statistical properties of EM methods have been extensively assessed for data sets with no missing values.

Freyberger, Höppner, Neuhierl, and Weber’s method fills in the blanks by first grouping observations with similar patterns of missing data and then taking the ones with complete data to estimate the ...

A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness depends on the variables in the ...