RESEARCH ARTICLE

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

  • Na SHAN ,
  • Jianhua GUO
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  • Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China

Received date: 08 Feb 2010

Accepted date: 07 May 2010

Published date: 05 Dec 2010

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

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.

Cite this article

Na SHAN , Jianhua GUO . Covariate selection for identifying the effects of a particular type of conditional plan using causal networks[J]. Frontiers of Mathematics in China, 2010 , 5(4) : 687 -700 . DOI: 10.1007/s11464-010-0064-y

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