Results 11 to 20 of about 687,701 (312)

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

open access: yesAdvances in Neural Information Processing Systems 36, 2023
Causal identification is at the core of the causal inference literature, where complete algorithms have been proposed to identify causal queries of interest.
Vowels, Matthew J.   +5 more
core   +4 more sources

Causal diagrams, the placebo effect, and the expectation effect

open access: yesInternational Journal of General Medicine, 2013
Eyal Shahar,1 Doron J Shahar2 1Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, 2Department of Mathematics, College of Science, University of Arizona, Tucson, AZ, USA Abstract: Using causal diagrams, a formal ...
Shahar E, Shahar DJ
doaj   +1 more source

The smog of exercise: the causal effect of air pollution on fitness behaviors [PDF]

open access: yesFrontiers in Public Health
With the rapid development of industrialization and urbanization in China, air pollution has become an increasingly serious problem, and people are increasingly concerned about its impact on personal physical and mental health.
Wen Cao   +4 more
doaj   +2 more sources

Causal Discovery and Causal Effect Identification

open access: yes
Understanding how changes in an environment affect outcomes is at the core of causal inference. Unlike standard prediction tasks that capture associations between variables, causal inference aims to reveal what happens when we intervene in a system.
Mokhtarian, Ehsan
core   +2 more sources

Applying the adjustment set to estimate causal effect of data based on the causal graph model

open access: yesSichuan jingshen weisheng, 2022
The purpose of this paper was to introduce the five limitations of the PROC CAUSALGRAPH procedure and estimate the causal effect of the data by using the adjustment set based on the causal graph model.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Quantifying Causal Path-Specific Importance in Structural Causal Model

open access: yesComputation, 2023
Path-specific effect analysis is a powerful tool in causal inference. This paper provides a definition of causal counterfactual path-specific importance score for the structural causal model (SCM). Different from existing path-specific effect definitions,
Xiaoxiao Wang   +5 more
doaj   +1 more source

Causality Is an Effect, II [PDF]

open access: yesEntropy, 2021
Causality follows the thermodynamic arrow of time, where the latter is defined by the direction of entropy increase. After a brief review of an earlier version of this article, rooted in classical mechanics, we give a quantum generalization of the results. The quantum proofs are limited to a gas of Gaussian wave packets.
openaire   +3 more sources

Local Causal Discovery for Estimating Causal Effects

open access: yesCoRR, 2023
Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) identifying the graph up to a Markov equivalence class; and (2) estimating that ATE for each graph in the class.
Shantanu Gupta   +2 more
openaire   +3 more sources

Investigating the causal effects of smoking, sleep, and BMI on major depressive disorder and bipolar disorder: a univariable and multivariable two-sample Mendelian randomization study

open access: yesFrontiers in Psychiatry, 2023
BackgroundMental disorders, characterized as products of biopsychosocial interactions, have emerged as a leading contributor to the worldwide rise in overall morbidity and disability rates.
Menglin He   +3 more
doaj   +1 more source

A cause–effect relationship between Graves’ disease and the gut microbiome contributes to the thyroid–gut axis: A bidirectional two-sample Mendelian randomization study

open access: yesFrontiers in Immunology, 2023
BackgroundAn association between Graves’ disease (GD) and the gut microbiome has been identified, but the causal effect between them remains unclear.MethodsBidirectional two-sample Mendelian randomization (MR) analysis was used to detect the causal ...
Jiamin Cao   +8 more
doaj   +1 more source

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