Identification problem of transition models for repeated measurement data with nonignorable missing values
The main result of this article is a necessary and sufficient condition for the identifiability of logistic AR(2) models when analyzing data with nonignorable missing values. The applicability of the approach is demonstrated on both synthetic data and real medical data.
scientific article; zbMATH DE number 6858932