Accession Number ADA564093
Title Interpretable Conditions for Identifying Direct and Indirect Effects.
Publication Date Jun 2012
Media Count 23p
Personal Author J. Pearl
Abstract This paper translates the conditions necessary for the identification of natural direct and indirect effects into a transparent language, thus permitting a more informed judgment of the plausibility of these conditions. We show that the conditions usually cited in the literature are overly restricted, and can be relaxed substantially, without compromising identification. In particular, we show that natural effects can be identified by methods other than adjustment. The identification conditions can be further relaxed in parametric models with interactions, and permit us to compare the relative importance of several pathways, mediated by interdependent variables.
Keywords Graphs
Identification
Language


 
Source Agency Non Paid ADAS
NTIS Subject Category 72F - Statistical Analysis
Corporate Author California Univ., Los Angeles. Dept. of Computer Science.
Document Type Technical report
Title Note Technical rept.
NTIS Issue Number 1302
Contract Number N00014-09-1-0665 N00014-10-1-0933

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