Reducing bias in experimental ecology through directed acyclic graphs
Sign Up to like & getrecommendations! 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
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9404
Abstract: Disease mapping is an important statistical tool used by epidemiologists to assess geographic variation in disease rates and identify lurking environmental risk factors from spatial patterns. Such maps rely upon spatial models for regionally aggregated… read more here.
Keywords: disease; acyclic graph; hierarchical multivariate; multivariate ... See more keywords
Corrigendum to: Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs
Sign Up to like & getrecommendations! 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
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2018.2889654
Abstract: Cooperation of multiple connected vehicles has the potential to benefit the road traffic greatly. In this paper, we consider analysis and synthesis problems of the cooperative control of a platoon of heterogeneous connected vehicles with… read more here.
Keywords: directed acyclic; acyclic interactions; heterogeneous connected; cooperative control ... See more keywords
IoT-enabled directed acyclic graph in spark cluster
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-020-00195-6
Abstract: Real-time data streaming fetches live sensory segments of the dataset in the heterogeneous distributed computing environment. This process assembles data chunks at a rapid encapsulation rate through a streaming technique that bundles sensor segments into… read more here.
Keywords: iot; iot enabled; spark cluster; directed acyclic ... See more keywords
Reconstruction of a directed acyclic graph with intervention.
Sign Up to like & getrecommendations! Published in 2020 at "Electronic journal of statistics"
DOI: 10.1214/20-ejs1767
Abstract: Identification of causal relations among variables is central to many scientific investigations, as in regulatory network analysis of gene interactions and brain network analysis of effective connectivity of causal relations between regions of interest. Statistically,… read more here.
Keywords: reconstruction; causal relations; directed acyclic; dag structure ... See more keywords
Directed acyclic graphs in perioperative observational research–A systematic review and critique against best practice recommendations
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281259
Abstract: The Directed Acyclic Graph (DAG) is a graph representing causal pathways for informing the conduct of an observational study. The use of DAGs allows transparent communication of a causal model between researchers and can prevent… read more here.
Keywords: observational research; best practice; literature; perioperative observational ... See more keywords
A Pathfinding Problem for Fork-Join Directed Acyclic Graphs with Unknown Edge Length
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14120367
Abstract: In a previous paper by the author, a pathfinding problem for directed trees is studied under the following situation: each edge has a nonnegative integer length, but the length is unknown in advance and should… read more here.
Keywords: length; join directed; problem; directed acyclic ... See more keywords
[The directionality of measurement bias: a directed acyclic graph-based structural perspective].
Sign Up to like & getrecommendations! Published in 2023 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.cn112338-20220906-00765
Abstract: Measurement bias (MB) has been described in causal structures but is still not entirely clear. In practice, the correctness of substitution estimate (SE) of effect is a prerequisite for causal inference, usually based on a… read more here.
Keywords: acyclic graph; measurement system; measurement; measurement bias ... See more keywords
[Directed acyclic graphs in statistical modelling of epidemiological studies].
Sign Up to like & getrecommendations! 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