An Open Path to DAG: Navigating Causal Inference in Epidemiological Research

An Open Path to DAG: Navigating Causal Inference in Epidemiological Research

Directed acyclic graphs (DAGs) are a valuable tool in epidemiology for illustrating causal relationships between variables in epidemiological research. DAGs enhance the transparency and robustness of the causal inference by delineating causal paths and identifying confounders, mediators, and collide...

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Bibliographic Details
Main Authors: Navaneeth S. Krishna, Madhanraj Kalyanasundaram, Tarun Bhatnagar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-07-01
Series:Indian Journal of Community Medicine
Subjects:
bias
causality
confounding factors
dag
epidemiology
Online Access:https://journals.lww.com/10.4103/ijcm.ijcm_735_24
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