Bounds on controlled direct effects under monotonic assumptions about mediators and confounders

DOI10.1002/bimj.201000051zbMath1201.62122OpenAlexW2080442583WikidataQ51652448 ScholiaQ51652448MaRDI QIDQ3056479

Yasutaka Chiba

Publication date: 12 November 2010

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201000051

zbMATH Keywords

causal inferencepotential outcomerandomized trial

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of mathematical programming (90C90) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Marginal structural models for estimating principal stratum direct effects under the monotonicity assumption ⋮ Monte-Carlo Sensitivity Analysis for Controlled Direct Effects Using Marginal Structural Models in the Presence of Confounded Mediators ⋮ Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators ⋮ Bounds on the average causal effects in randomized trials with noncompliance by covariate adjustment

Cites Work

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• Bayesian inference for causal effects: The role of randomization
• Probabilities of causation: Bounds and identification
• Analytic bounds on causal risk differences in directed acyclic graphs involving three observed binary variables
• Bounds on Direct Effects in the Presence of Confounded Intermediate Variables
• The Sign of the Bias of Unmeasured Confounding
• Causal diagrams for empirical research
• Direct and Indirect Causal Effects via Potential Outcomes*
• Causal Mediation Analyses with Rank Preserving Models
• Association of Random Variables, with Applications

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