Assessing causality in epidemiology: revisiting Bradford Hill to ...
Causal assessment is fundamental to epidemiology as it may inform policy and practice to improve population health. A leading figure in epidemiology, Sir Austin Bradford Hill, suggested the goal of causal assessment is to understand if there is “any other way of explaining the set of facts before us … any other answer equally, or more ...
ERIC at the UNC CH Department of Epidemiology Medical Center Causality E R I C N O T E B O O K S E R I E S The primary goal of the epidemiologist is to identify those factors that have a causal impact on development or prevention of a health outcome, thereby providing a target for prevention and intervention. At first glance,
Causality and causal inference in epidemiology: the need for a ...
It is helpful to distinguish the concept of causation from the nature of causation. In epidemiology, taking a strong philosophical position about the nature of causation is not necessary or useful. Epidemiologists do, however, need to operate with concepts of causality, since they need to employ causal concepts.
Causation in epidemiology - Journal of Epidemiology
Causation is an essential concept in epidemiology, yet there is no single, clearly articulated definition for the discipline. From a systematic review of the literature, five categories can be delineated: production, necessary and sufficient, sufficient …
10 Causality and Causal Thinking in Epidemiology
Discuss the 3 tenets of human disease causality; Explain how causal thinking plays a role in the epidemiology research process; Apply epidemiologic causal thinking to common exposure/disease problems
Assessing causality in epidemiology: revisiting Bradford Hill to ...
The nine Bradford Hill (BH) viewpoints (sometimes referred to as criteria) are commonly used to assess causality within epidemiology. However, causal thinking has since developed, with three of the most prominent approaches implicitly or explicitly building on the potential outcomes framework: direc …
1.10: Causality and Causal Thinking in Epidemiology
2020年11月19日 · Discuss the 3 tenets of human disease causality; Explain how causal thinking plays a role in the epidemiology research process; Apply epidemiologic causal thinking to common exposure/disease problems
Causation and causal inference in epidemiology - PubMed
Causal inference in epidemiology is better viewed as an exercise in measurement of an effect rather than as a criterion-guided process for deciding whether an effect is present or not. Concepts of cause and causal inference are largely self-taught from early learning experiences.
Causality and the Interpretation of Epidemiologic Evidence
2006年3月27日 · In this commentary, I propose a dialogue approach for the assessment of an agent or determinant. Starting from epidemiologic evidence, four issues need to be addressed: temporal relation, association, environmental equivalence, and population equivalence.
Causality in epidemiology - PubMed
This article provides an introduction to the meaning of causality in epidemiology and methods that epidemiologists use to distinguish causal associations from non-causal ones. Alternatives to causal association are discussed in detail.