This paper reviews models for incomplete continuous and categorical longitu
dinal data. In terms of Rubin's classification of missing value processes w
e are specifically concerned with the problem of nonrandom missingness. A d
istinction is drawn between the classes of selection and pattern-mixture mo
dels and, using several examples, these approaches are compared and contras
ted. The central roles of identifiability and sensitivity are emphasized th
roughout.