Conditions for uniformly non-confounding of causal distribution effects over multiple covariates

DOI10.1007/S11424-010-8417-XzbMath1233.62006OpenAlexW2095891987MaRDI QIDQ625684

Xue-Li Wang

Publication date: 25 February 2011

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-010-8417-x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Foundational topics in statistics (62A99)

Uses Software

• TETRAD

Cites Work

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• Detecting multiple confounders
• Bayesian inference for causal effects: The role of randomization
• Confounding and collapsibility in causal inference
• Confounding in Epidemiologic Studies: The Adequacy of the Control Group as a Measure of Confounding
• From Association to Causation in Observational Studies: The Role of Tests of Strongly Ignorable Treatment Assignment
• The central role of the propensity score in observational studies for causal effects
• Statistics and Causal Inference
• Causal diagrams for empirical research
• Criteria for Confounders in Epidemiological Studies

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