قارن الطرق

	تحليل الوساطة السببية (التأثيرات المباشرة وغير المباشرة الطبيعية)	التعرف السببي باستخدام الرسوم البيانية الموجهة غير الدورية (حسابات do)
المجال	الاستدلال السببي	الاستدلال السببي
العائلة	Regression model	Regression model
سنة النشأة	2010	2009
صاحب الطريقة	Pearl (2001); general framework by Imai, Keele & Tingley (2010)	Judea Pearl
النوع	Counterfactual causal decomposition	Causal identification framework
المصدر التأسيسي	Pearl, J. (2001). Direct and Indirect Effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI), 411-420.	Pearl, J. (2009). Causality: Models, Reasoning, and Inference (2nd ed.). Cambridge University Press. ISBN: 978-0521895606
الأسماء البديلة	natural direct effect, natural indirect effect, NDE / NIE decomposition, counterfactual mediation	do-calculus, backdoor adjustment, Pearl causal identification, DAG ile Nedensel Tanımlama (do-calculus)
ذات صلة	5	5
الملخص	Causal mediation analysis is a counterfactual framework that splits a treatment's total effect into a Natural Direct Effect (NDE) and a Natural Indirect Effect (NIE) that runs through a mediator. The modern general approach was formalised by Pearl (2001) and Imai, Keele and Tingley (2010), giving the decomposition a precise causal interpretation.	DAG causal identification is a framework, developed by Judea Pearl (2009), that encodes causal assumptions as a directed acyclic graph and uses the do-calculus rules to determine whether and how a causal effect can be identified from observational data. It systematically handles confounders, instrumental variables, and backdoor paths.