Pattern-mixture models with proper time dependence
具有恰当时间依赖结构的模式混合模型
Recently, pattern‐mixture modelling has become a popular tool for modelling incomplete longitudinal data. Such models are under‐identified in the sense that, for any drop‐out pattern, the data provide no direct information on the distribution of the unobserved outcomes, given the observed ones. One simple way of overcoming this problem, ordinary extrapolation of sufficiently simple pattern‐specific models, often produces rather unlikely descriptions; several authors consider…