Resultado de búsqueda
Collider bias is a distortion of an exposure-outcome association caused by controlling for a common effect of both. Learn how to identify and prevent collider bias with causal diagrams and examples from Sackett and obesity paradox.
What Is Collider Bias? Collider bias occurs when an exposure and outcome (or factors causing these) each influence a common third variable and that variable or collider is controlled for by design or analysis. 3 In contrast, confounding occurs when an exposure and outcome have a shared common cause that is not controlled for.
Berkson's paradox, also known as Berkson's bias, collider bias, or Berkson's fallacy, is a result in conditional probability and statistics which is often found to be counterintuitive, and hence a veridical paradox. It is a complicating factor arising in statistical tests of proportions.
18 de feb. de 2022 · So-called confounders are well known, but distortion by collider bias (CB) has received little attention in medical research to date. The goal of this article is to present the principle of CB, and measures that can be taken to avoid it, by way of a few illustrative examples.
12 de nov. de 2020 · In this paper, we discuss why collider bias should be of particular concern to observational studies of COVID-19 infection and disease risk, and show how sample selection can lead to dramatic...
8 de feb. de 2023 · Collider bias is a threat to internal validity in clinical research that arises from conditioning on a variable that is a causal descendant of an exposure and outcome. This article explains collider bias and its corollaries in the retrospective analysis of electronic health record (EHR) data, using directed acyclic graphs (DAGs) as a tool for identifying potential sources of bias.
10 de oct. de 2023 · Collider stratification bias is a threat to validity of causal inferences in epidemiology. It occurs when conditioning on a common effect of 2 otherwise unrelated factors creates a spurious or distorted association between them. Learn the structure, causes, and scenarios of collider stratification bias using directed acyclic graphs and examples.
