SELECTION OF POST-TREATMENT VARIABLES FOR ESTIMATING TOTAL EFFECT FROM EMPIRICAL RESEARCH

DOI10.14490/jjss1995.30.115zbMath0983.62092OpenAlexW2008388478MaRDI QIDQ2767525

Manabu Kuroki

Publication date: 25 April 2002

Published in: JOURNAL OF THE JAPAN STATISTICAL SOCIETY (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.14490/jjss1995.30.115

zbMATH Keywords

causal effectsregression modelinterventionindirect effects

Mathematics Subject Classification ID

Applications of graph theory (05C90) Applications of statistics (62P99)

Related Items (4)

Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models ⋮ Covariate Selection for Estimating the Causal Effect of Control Plans by Using Causal Diagrams ⋮ The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable ⋮ On the Estimation Accuracy of Causal Effects using Supplementary Variables

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