Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete graphical criteria and procedures exist for many id...

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Bibliographic Details
Main Authors: Santtu Tikka, Antti Hyttinen, Juha Karvanen
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2021-08-01
Series:Journal of Statistical Software
Subjects:
causality
do-calculus
selection bias
transportability
missing data
case-control design
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3977

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