Directed acyclic graphs for clinical research: a tutorial [PDF]
Journal of Minimally Invasive Surgery, 2023 Directed acyclic graphs (DAGs) are useful tools for visualizing the hypothesized causal structures in an intuitive way and selecting relevant confounders in causal inference.
Sangmin Byeon, Woojoo Lee
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Reducing bias in experimental ecology through directed acyclic graphs [PDF]
Ecology and Evolution, 2023 Ecologists often rely on randomized control trials (RCTs) to quantify causal relationships in nature. Many of our foundational insights of ecological phenomena can be traced back to well‐designed experiments, and RCTs continue to provide valuable ...
Suchinta Arif, Melanie Duc Bo Massey
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Directed Acyclic Outerplanar Graphs Have Constant Stack Number [PDF]
TheoretiCSThe stack number of a directed acyclic graph $G$ is the minimum $k$ for which there is a topological ordering of $G$ and a $k$-coloring of the edges such that no two edges of the same color cross, i.e., have alternating endpoints along the topological ...
Paul Jungeblut +2 more
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Comparison of open-source software for producing directed acyclic graphs [PDF]
Journal of Causal InferenceMany software packages have been developed to assist researchers in drawing directed acyclic graphs (DAGs), each with unique functionality and usability. We examine five of the most common software to generate DAGs: TikZ, DAGitty, ggdag, dagR, and igraph.
Pitts Amy J., Fowler Charlotte R.
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SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering. [PDF]
PLoS ONEA Directed Acyclic Graph (DAG) offers an easy approach to define causal structures among gathered nodes: causal linkages are represented by arrows between the variables, leading from cause to effect.
Mario Grassi, Barbara Tarantino
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In reference to ‘Directed acyclic graphs for clinical research: a tutorial’ [PDF]
Journal of Minimally Invasive Surgery, 2023 Anjali Rajkumar, Vishak MS
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Constructing causal pathways for premature cardiovascular disease mortality using directed acyclic graphs with integrating evidence synthesis and expert knowledge [PDF]
Scientific ReportsCardiovascular disease (CVD) is a major global cause of premature mortality. While multiple studies propose CVD mortality prediction models based on regression frameworks, incorporating causal understanding through causal inference approaches can enhance
Wan Shakira Rodzlan Hasani +3 more
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The dawn of directed acyclic graphs in primary care research and education [PDF]
Journal of General and Family Medicine, 2023 Hiroyoshi Iwata +2 more
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Evaluating topological ordering in directed acyclic graphs
Electronic Journal of Graph Theory and Applications, 2021 Directed acyclic graphs are often used to model situations and problems in real life. If we consider the topological ordering of the graph as a process of arranging the vertices in the best possible way considering the constraints caused by the direction
Suzana Antunović, Damir Vukičević
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Journal of Statistical Software, 2006 We describe some functions in the R package ggm to derive from a given Markov model, represented by a directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on some of the variables.
Giovanni M. Marchetti
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