Results 31 to 40 of about 137 (85)

Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches

Journal of Causal Inference, 2023
We propose semiparametric and nonparametric methods to estimate conditional interventional indirect effects in the setting of two discrete mediators whose causal ordering is unknown. Average interventional indirect effects have been shown to decompose an
Rubinstein Max, Branson Zach, Kennedy Edward H.   +2 more
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Adding covariates to bounds: what is the question?

Journal of Causal Inference
Symbolic nonparametric bounds for partial identification of causal effects now have a long history in the causal literature. Sharp bounds, bounds that use all available information to make the range of values as narrow as possible, are often the goal ...
Jonzon Gustav, Gabriel Erin E., Sjölander Arvid, Sachs Michael C.   +3 more
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Efficient and flexible mediation analysis with time-varying mediators, treatments, and confounders

Journal of Causal Inference, 2023
Understanding the mechanisms of action of interventions is a major general goal of scientific inquiry. The collection of statistical methods that use data to achieve this goal is referred to as mediation analysis.
Díaz Iván, Williams Nicholas, Rudolph Kara E.   +2 more
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Do LLMs act as repositories of causal knowledge?

Journal of Causal Inference
Large language models (LLMs) offer the potential to automate a large number of tasks that previously have not been possible to automate, including some in science.
Huntington-Klein Nick, Murray Eleanor J.
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Unfair utility functions and first steps towards improving them

Journal of Causal Inference
Many fairness criteria constrain the policy or choice of predictors, which can have unwanted consequences, in particular, when optimizing the policy under such constraints.
Jørgensen Frederik Hytting, Weichwald Sebastian, Peters Jonas   +2 more
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Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs

Journal of Causal Inference, 2020
This paper elaborates on administrative sorting, a threat to internal validity that has been overlooked in the regression discontinuity (RD) literature.
Crespo Cristian
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A Two-Stage Joint Modeling Method for Causal Mediation Analysis in the Presence of Treatment Noncompliance

Journal of Causal Inference, 2020
Estimating the effect of a randomized treatment and the effect that is transmitted through a mediator is often complicated by treatment noncompliance. In literature, an instrumental variable (IV)-based method has been developed to study causal mediation ...
Park Soojin, Kürüm Esra
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The Inflation Technique Completely Solves the Causal Compatibility Problem

Journal of Causal Inference, 2020
The causal compatibility question asks whether a given causal structure graph — possibly involving latent variables — constitutes a genuinely plausible causal explanation for a given probability distribution over the graph’s observed categorical ...
Navascués Miguel, Wolfe Elie
doaj   +1 more source

Treatment effect estimation with observational network data using machine learning

Journal of Causal Inference
Causal inference methods for treatment effect estimation usually assume independent units. However, this assumption is often questionable because units may interact, resulting in spillover effects between them.
Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon, Bühlmann Peter   +3 more
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Causal structure learning in directed, possibly cyclic, graphical models

Journal of Causal Inference
We consider the problem of learning a directed graph G⋆{G}^{\star } from observational data. We assume that the distribution that gives rise to the samples is Markov and faithful to the graph G⋆{G}^{\star } and that there are no unobserved variables.
Semnani Pardis, Robeva Elina
doaj   +1 more source