منابع مشابه
Polydesigns and causal inference.
In an increasingly common class of studies, the goal is to evaluate causal effects of treatments that are only partially controlled by the investigator. In such studies there are two conflicting features: (1) a model on the full cohort design and data can identify the causal effects of interest, but can be sensitive to extreme regions of that design's data, where model specification can have mo...
متن کاملPolydesigns in Causal Inference
In an increasingly common class of studies, the goal is to evaluate causal effects of treatments that are only partially controlled by the investigator. In such studies there are two conflicting features: (1) a model on the full design and data can identify the causal effects of interest, but the model’s use in extreme regions of the data (e.g., where the outcome of interest is rare) can be sen...
متن کاملStatistics and Causal Inference
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متن کاملCausal Inference
This paper reviews a theory of causal inference based on the Structural Causal Model (SCM) described in (Pearl, 2000a). The theory unifies the graphical, potential-outcome (NeymanRubin), decision analytical, and structural equation approaches to causation, and provides both a mathematical foundation and a friendly calculus for the analysis of causes and counterfactuals. In particular, the paper...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2005
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2005.00494.x