Results 61 to 70 of about 2,139,585 (163)
Directed causal effect with PCMCI in hyperscanning EEG time series
Frontiers in NeuroscienceSocial activities are likely to cause effects or reactivity in the brains of the people involved in collaborative social situations. This study assesses a new method, Tigramite, for time domain analysis of directed causality between the prefrontal cortex
Lykke Silfwerbrand +5 more
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Dynamic Window-level Granger Causality of Multi-channel Time Series [PDF]
arXiv, 2020 Granger causality method analyzes the time series causalities without building a complex causality graph. However, the traditional Granger causality method assumes that the causalities lie between time series channels and remain constant, which cannot model the real-world time series data with dynamic causalities along the time series channels. In this
arxiv
Frontiers in Cellular and Infection MicrobiologyIntroductionThe oral cavity and gut tract, being interconnected and rich in microbiota, may have a shared influence on gingivitis. However, the specific role of distinct gut microbiota taxa in gingivitis remains unexplored.
Zhou Hang, Chen Rouyi, Li Sen
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Tobacco Induced DiseasesIntroduction Maternal smoking during pregnancy disturbs fetal lung development, and induces in their offspring childhood respiratory diseases. Whether it has a continued impact on offspring adult lung health and exerts a casual effect of chronic ...
Yun-Xia Huo +3 more
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Frontiers in MicrobiologyBackgroundAn increasing body of evidence suggests a profound interrelation between the microbiome and sleep-related concerns. Nevertheless, current observational studies can merely establish their correlation, leaving causality unexplored.Study ...
Xiaoqiu Wang +5 more
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Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness [PDF]
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works.
Flores, Carlos A. +1 more
core
Causal Bayes Model of Mathematical Competence in Kindergarten [PDF]
Journal of Systemics, Cybernetics and Informatics, 2016 In this paper authors define mathematical competences in the kindergarten. The basic objective was to measure the mathematical competences or mathematical knowledge, skills and abilities in mathematical education. Mathematical competences were grouped in
Božidar Tepeš +3 more
doaj
Association of coffee intake with bone mineral density: a Mendelian randomization study
Frontiers in EndocrinologyBackgroundIn observational studies, the relationship between coffee intake and bone mineral density (BMD) is contradictory. However, residual confounding tends to bias the results of these studies. Therefore, we used a two-sample Mendelian randomization (
Yang Ye +6 more
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Identifying Macro Causal Effects in C-DMGs [PDF]
arXivCausal effect identification using causal graphs is a fundamental challenge in causal inference. While extensive research has been conducted in this area, most existing methods assume the availability of fully specified causal graphs. However, in complex domains such as medicine and epidemiology, complete causal knowledge is often unavailable, and only
arxiv
Causal programming: inference with structural causal models as finding instances of a relation [PDF]
arXiv, 2018 This paper proposes a causal inference relation and causal programming as general frameworks for causal inference with structural causal models. A tuple, $\langle M, I, Q, F \rangle$, is an instance of the relation if a formula, $F$, computes a causal query, $Q$, as a function of known population probabilities, $I$, in every model entailed by a set of ...
arxiv