Results 61 to 70 of about 1,255,138 (288)
Information Theoretic Causal Effect Quantification
Entropy, 2019 Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework.
Aleksander Wieczorek, Volker Roth
doaj +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
On the Page Number of Upward Planar Directed Acyclic Graphs
Journal of Graph Algorithms and Applications, 2013 In this paper we study the page number of upward planar directed acyclic graphs. We prove that: (1) the page number of any n-vertex upward planar triangulation G whose every maximal 4-connected component has page number k is at most min{O(klogn),O(2k)}; (
Fabrizio Frati +2 more
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The bayesvl package: An R package for implementing and visualizing Bayesian statistics
SoftwareX, 2022 The bayesvl R package implements Bayesian analysis using the Stan’s no-U-turn sampler (NUTS). Two distinguished functions that the bayesvl package complements to other developed packages and software performing Bayesian analysis are the “relationship ...
Viet-Phuong La +5 more
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The Risk of Cardiovascular Diseases for Shift Workers in the Prospective Heinz Nixdorf Recall Study
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Shift work can disrupt circadian rhythms and is postulated to play a role in cardiovascular diseases (CVD). In the German prospective population‐based Heinz Nixdorf Recall Study, we analyzed longitudinal associations between shift work and night‐shift work with CVD.
Katharina Wichert +7 more
wiley +1 more source
Adjustment for collider bias in the hospitalized Covid-19 setting
Global Epidemiology, 2023 Background: Causal directed acyclic graphs (cDAGs) are frequently used to identify confounding and collider bias. We demonstrate how to use causal directed acyclic graphs to adjust for collider bias in the hospitalized Covid-19 setting.
Moslem Taheri Soodejani +4 more
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Arthritis &Rheumatology, EarlyView.Objective To examine the association between radiographic structural damage and physical function (PF) in psoriatic arthritis (PsA). Methods Data were analyzed from a large longitudinal PsA cohort. PF was measured using the Health Assessment Questionnaire (HAQ, 0–3) and Short Form‐36 PF subscale (SF‐36, 0–100); radiographic joint damage was measured ...
Pankti Mehta +8 more
wiley +1 more source
Importance of directed acyclic graphs in medical education
Discover EducationMedical students are taught the importance of variable relationships in scientific research. We propose augmenting this education with teaching about direct acyclic graphs (DAGs)—a graphical model used to analyze complex systems of variables.
AlleaBelle Bradshaw, Jace C. Bradshaw
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Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation
Applied Artificial Intelligence, 2019 PC is a prototypical constraint-based algorithm for learning Bayesian networks, a special case of directed acyclic graphs. An existing variant of it, in the R package pcalg, was developed to make the skeleton phase order independent.
Michail Tsagris
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Causal Directed Acyclic Graphs [PDF]
JAMA, 2022 Ari M, Lipsky, Sander, Greenland
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