On the Testability of Models with Missing Data

Graphical models that depict the process by which data are lost are helpful in recovering information from missing data. We address the question of whether any such model can be submitted to a statistical test given that the data available are corrupted by missingness. We present sucient conditions for testability in missing data applications and note the impediments for testability when data are contaminated by missing entries. Our results...