Details

Autor(en) / Beteiligte

• Ma, Wen-Qing
• Geng, Zhi
• Hu, Yong-Hua

Titel

Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies

Ist Teil von

• Journal of multivariate analysis, 2003-10, Vol.87 (1), p.24-45

Ort / Verlag

San Diego, CA: Elsevier Inc

Erscheinungsjahr

2003

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek (Open access)

Beschreibungen/Notizen

• In this paper, we use directed acyclic graphs (DAGs) with temporal structure to describe models of nonignorable nonresponse mechanisms for binary outcomes in longitudinal studies, and we discuss identification of these models under an assumption that the sequence of variables has the first-order Markov dependence, that is, the future variables are independent of the past variables conditional on the present variables. We give a stepwise approach for checking identifiability of DAG models. For an unidentifiable model, we propose adding completely observed variables such that this model becomes identifiable.