On the current and future potential of simulations based on directed acyclic graphs
Real-world data are playing an increasingly important role in regulatory decision making. Adequately addressing bias is of paramount importance in this context. Structural representations of bias using directed acyclic graphs (DAGs) provide a unified approach to conceptualize bias, distinguish betwe...
Saved in:
Main Authors: | Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
|
Series: | Global Epidemiology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590113325000045 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data
by: Robin J. Boyd, et al.
Published: (2025-02-01) -
Nettree for maximum disjoint paths with length constraint in DAG
by: Yan LI, et al.
Published: (2015-08-01) -
Discovering causal models for structural, construction and defense-related engineering phenomena
by: M.Z. Naser
Published: (2025-01-01) -
DAG-Based Swarm Learning Approach in Healthcare: A Survey
by: David Gana, et al.
Published: (2025-01-01) -
Correlation-Based Task Scheduling Algorithm in Wireless Sensor Network
by: Fangfang Yan, et al.
Published: (2013-05-01)