Core concepts in pharmacoepidemiology: Violations of the positivity assumption in the causal analysis of observational data: Consequences and statistical approaches
Sign Up to like & getrecommendations! Published in 2021 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5338
Abstract: In the causal analysis of observational data, the positivity assumption requires that all treatments of interest be observed in every patient subgroup. Violations of this assumption are indicated by nonoverlap in the data in the… read more here.
Keywords: assumption; analysis observational; positivity; causal analysis ... See more keywords
Sparse Inverse Covariance Estimation for Causal Inference in Process Data Analytics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2021.3105024
Abstract: Causal analysis plays a vital role in determining the underlying relationship among the variables in a system from the data. In this article, the sparse inverse covariance (SIC) estimation is coupled with likelihood score, and… read more here.
Keywords: inverse covariance; causal; estimation; causal analysis ... See more keywords
Understanding the Interactions Between Driving Behavior and Well-being in Daily Driving: Causal Analysis of a Field Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Internet Research"
DOI: 10.2196/36314
Abstract: Background Investigating ways to improve well-being in everyday situations as a means of fostering mental health has gained substantial interest in recent years. For many people, the daily commute by car is a particularly straining… read more here.
Keywords: study; causal analysis; arousal; driving behavior ... See more keywords
Causal Analysis of Ecological Impairment in Land Ecosystem on a Regional Scale: Applied to a Mining City Daye, China
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DOI: 10.3390/land10050530
Abstract: We adopted a weight of evidence approach to establish a causal analysis of an impaired land ecosystem on a regional scale; namely, Daye, a traditional mining city in China. Working processes, including problem statements, a… read more here.
Keywords: land ecosystem; causal; land; causal analysis ... See more keywords
A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning
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DOI: 10.3390/sym12122054
Abstract: The Bayesian Network (BN) has been widely applied to causal reasoning in artificial intelligence, and the Search-Score (SS) method has become a mainstream approach to mine causal relationships for establishing BN structure. Aiming at the… read more here.
Keywords: learning; bayesian network; structural learning; causal analysis ... See more keywords