Covariate selection for identifying the effects of a particular type of conditional plan using causal networks |
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Authors: | Na Shan Jianhua Guo |
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Institution: | Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China |
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Abstract: | Suppose that cause-effect relationships between variables can be described by a causal network with a linear structural equation
model. Kuroki and Miyakawa proposed a graphical criterion for selecting covariates to identify the effect of a conditional
plan with one control variable J. Roy. Statist. Soc. Ser. B, 2003, 65: 209–222]. In this paper, we study a particular type
of conditional plan with more than one control variable and propose a graphical criterion for selecting covariates to identify
the effect of a conditional plan of the studied type. |
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Keywords: | Causal network conditional plan double back-door criterion identifiability |
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