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20122024
most citedOn Identifying Total Effects in the Presence of Latent Variables and Selection bias

8 citations · 14 across the 10 of their papers we have counts for

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Showing 2012Show all

7 papers · 1 filter

stat.ME2012

Selection of Identifiability Criteria for Total Effects by using Path Diagrams

Manabu Kuroki, Zhihong Cai

Pearl has provided the back door criterion, the front door criterion and the conditional instrumental variable (IV) method as identifiability criteria for total effects. In some si…

stat.ME2012

The Graphical Identification for Total Effects by using Surrogate Variables

Manabu Kuroki, Zhihong Cai, Hiroki Motogaito

Consider the case where cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model. This paper…

cs.AI2012

Counterfactual Reasoning in Linear Structural Equation Models

Zhihong Cai, Manabu Kuroki

Consider the case where causal relations among variables can be described as a Gaussian linear structural equation model. This paper deals with the problem of clarifying how the va…

stat.ME2012

Stratified Analysis of `Probabilities of Causation'

Manabu Kuroki, Zhihong Cai

This paper proposes new formulas for the probabilities of causation difined by Pearl (2000). Tian and Pearl (2000a, 2000b) showed how to bound the quantities of the probabilities o…

stat.ME2012★ 3 cited

Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models

Manabu Kuroki, Zhihong Cai

When observational data is available from practical studies and a directed cyclic graph for how various variables affect each other is known based on substantive understanding of t…

stat.ME2012★ 1 cited

The Evaluation of Causal Effects in Studies with an Unobserved Exposure/Outcome Variable: Bounds and Identification

Manabu Kuroki, Zhihong Cai

This paper deals with the problem of evaluating the causal effect using observational data in the presence of an unobserved exposure/ outcome variable, when cause-effect relationsh…