Results 1 to 10 of about 216,349 (216)
A structural causal model for robot-assisted upper-limb neurorehabilitation [PDF]
Frontiers in Rehabilitation SciencesUpper-limb robot-assisted neurorehabilitation in stroke yields modest improvements in impairments that do not generalize to functional outcomes, with substantial variability across patients.
Sivakumar Balasubramanian +1 more
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Quantifying Causal Path-Specific Importance in Structural Causal Model
Computation, 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
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Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU. [PDF]
Artif Intell Med, 2023 Gani MO +5 more
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Estimand-Agnostic Causal Query Estimation With Deep Causal Graphs
IEEE Access, 2022 Causal Queries are usually estimated by means of an estimand, a formula consisting of observational terms that can be computed using passive data. Each query results in a different formula, which makes estimand-based methods extremely ad-hoc.
Alvaro Parafita, Jordi Vitria
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Three analytical frameworks of causal inference and their applications
工程科学学报, 2022 Causality is a generic relationship between an effect and a cause that produces it. The causal relationship among things has been a research hotspot; however, the complexity of causality is sometimes far beyond our imagination.
Zhong-gui MA, Xiao-han XU, Xue-er LIU
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Confounding in Studies on Metacognition: A Preliminary Causal Analysis Framework
Frontiers in Psychology, 2020 By definition, metacognitive processes may monitor or regulate various stages of first-order processing. By combining causal analysis with hypotheses expressed by other authors we derive the theoretical and methodological consequences of this special ...
Borysław Paulewicz +2 more
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BMC Medical Research Methodology, 2022 Background Causal inference has seen an increasing popularity in medical research. Estimation of causal effects from observational data allows to draw conclusions from data when randomized controlled trials cannot be conducted.
Riko Kelter
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Missing Value Causal Learning Algorithm Based on Structural Equation Likelihood Framework [PDF]
Jisuanji gongcheng, 2023 Exploring causal relationships between entities is crucial in data science. In practical scenarios missing values pose significant challenges to both constraint-based and structural equation model-based methods.
Zhifeng HAO, Jianhua YU, Jie QIAO, Ruichu CAI
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LHB Hydroscience Journal, 2023 It is a common idea to take advantage of as much evidence as possible in engineering safety monitoring data analysis. Compared to the direct use of as many measurement points as input features in prediction tasks, this paper reveals that this habit tends
Hairui Li +3 more
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Research on the Application of Fuzzy Bayesian Network in Risk Assessment of Catenary Construction
Mathematics, 2023 The research on risk control during the construction stage of catenary is relatively limited. Based on a comprehensive analysis of the risk factors during catenary construction, this study determined the causal relationships between the risk factors and ...
Yongjun Chen +5 more
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