Related Experiment Video
Updated: Jan 9, 2026
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A Classification System for Competing Narratives in a Risk Context
1University of Richmond, Richmond, Virginia, USA.
None:
Recent literature has examined the role of misinformation, biases, and other factors in contributing to the integrity of a risk study. These types of social and cognitive dynamics-referred to as narratives-comprise concern and value in a risk study. These narratives may appear to undermine aspects of objectivity in a scientific sense, but they may also shed light on aspects of a risk study that involve perceived scientific truths, related risk concerns, and values. The narratives can inform overall risk perception and the perception of quality for the risk study. As a result, understanding and classifying those narratives provides additional evidence that can potentially inform decisions for the design and implementation of a risk study. In this article, we develop a classification system that can be used to understand and address narratives that can influence a risk study and how various stakeholders perceive the risk study. This article will be of interest to risk analysts, policymakers, and risk communicators.
Related Concept Videos
01:12Relative Risk
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
03:26Framing Effects
01:31Classification of Systems-II
01:26Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
01:29Contingency Table