Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation
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Publication:2082480
DOI10.1007/S10260-021-00611-4OpenAlexW4200430291MaRDI QIDQ2082480
Publication date: 4 October 2022
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-021-00611-4
causal inferencedirect effectparametric estimationindirect effectsequential ignorabilityuncertainty interval
Uses Software
Cites Work
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- Estimation of Relationships for Limited Dependent Variables
- Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome
- Conceptual issues concerning mediation, interventions and composition
- Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness and sensitivity analysis
- Identification, inference and sensitivity analysis for causal mediation effects
- Quadratic mode regression
- Exact parametric causal mediation analysis for a binary outcome with a binary mediator
- maxLik: a package for maximum likelihood estimation in R
- Symmetrically Trimmed Least Squares Estimation for Tobit Models
- Applied Econometrics with R
- Social Experimentation, Truncated Distributions, and Efficient Estimation
- Design of observational studies
- Properties of the QME under asymmetrically distributed disturbances
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