Covariate selection for identifying the effects of a particular type of conditional plan using causal networks

DOI10.1007/s11464-010-0064-yzbMath1203.62118OpenAlexW2019400018MaRDI QIDQ610737

Na Shan, Jian-hua Guo

Publication date: 10 December 2010

Published in: Frontiers of Mathematics in China (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11464-010-0064-y

zbMATH Keywords

causal networkidentifiabilityconditional plandouble back-door criterion

Mathematics Subject Classification ID

Multivariate analysis (62H99) Linear inference, regression (62J99) Applications of graph theory (05C90) Applications of statistics (62P99) Nonparametric inference (62G99) Graphical methods in statistics (62A09)

Related Items (4)

An unbiased estimator of the causal effect on the variance based on the back-door criterion in Gaussian linear structural equation models ⋮ Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models ⋮ Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models ⋮ Selection and integration of generalized instrumental variables for estimating total effects

Uses Software

• TETRAD

Cites Work

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• Causation, prediction, and search
• Confounding and collapsibility in causal inference
• Causal diagrams for empirical research
• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Covariate Selection for Estimating the Causal Effect of Control Plans by Using Causal Diagrams
• Identifying independence in bayesian networks

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