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   Articles with "acyclic graphs" as a keyword



Reducing bias in experimental ecology through directed acyclic graphs

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recommendations! Published in 2023 at "Ecology and Evolution"

DOI: 10.1002/ece3.9947

Abstract: Abstract 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… read more here.

Keywords: ecology; acyclic graphs; reducing bias; causal ... See more keywords

Corrigendum to: Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs

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recommendations! Published in 2019 at "International Journal of Epidemiology"

DOI: 10.1093/ije/dyz220

Abstract: Background—Directed acyclic graphs (DAGs) are popular tools for identifying appropriate adjustment strategies for epidemiological analysis. However, a lack of direction on how to build them is problematic. As a solution, we propose using a combination… read more here.

Keywords: evidence synthesis; acyclic graphs; directed acyclic; esc dags ... See more keywords

Let’s DAG in: how directed acyclic graphs can help behavioural ecology be more transparent

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recommendations! Published in 2025 at "Proceedings of the Royal Society B: Biological Sciences"

DOI: 10.1098/rspb.2025.0963

Abstract: Directed acyclic graphs (DAGs) are powerful tools for visualizing assumptions/hypotheses and causal inference. Although their use is becoming more widespread across various disciplines, they remain underutilised in behavioural ecology and evolution. Here, we point out… read more here.

Keywords: behavioural ecology; let dag; directed acyclic; acyclic graphs ... See more keywords

[Directed acyclic graphs in statistical modelling of epidemiological studies].

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recommendations! Published in 2018 at "Revista medica de Chile"

DOI: 10.4067/s0034-98872018000700907

Abstract: BACKGROUND Confusion in observational epidemiological studies distorts the relationship between exposure and event. "Step by step" regression models, diverts the decision to a statistical algorithm with little causal basis. Directed Acyclic Graphs (DAGs), qualitatively and… read more here.

Keywords: step step; acyclic graphs; epidemiological studies; directed acyclic ... See more keywords