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Related Concept Videos

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with a...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
Global Regulatory Systems01:28

Global Regulatory Systems

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Related Experiment Videos

Risk, uncertainty and regulation.

John R Krebs1

  • 1Jesus College, University of Oxford, Oxford OX1 3DW, UK. john.krebs@zoo.ox.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|November 2, 2011
PubMed
Summary
This summary is machine-generated.

Understanding scientific evidence, risk assessment, and regulation is crucial. This review explores how subjective risk perceptions and scientific uncertainty influence regulatory policy, using pesticide, bovine tuberculosis, and alcohol pricing examples.

Related Experiment Videos

Area of Science:

  • Environmental Science
  • Public Health
  • Risk Management

Background:

  • Risk assessment involves scientific evidence, which can be ambiguous.
  • Subjective risk perceptions often differ from objective assessments.
  • Disagreement among experts on risk magnitude is common.

Purpose of the Study:

  • To review the complex relationship between scientific evidence, uncertainty, risk, and regulation.
  • To explore how differing definitions and perceptions of risk impact policy.
  • To illustrate these concepts using real-world regulatory examples.

Main Methods:

  • Literature review of scientific evidence, risk assessment, and regulatory frameworks.
  • Analysis of the translation of risk assessment into policy decisions.
  • Case study analysis of pesticide regulation, bovine tuberculosis control, and alcohol pricing.

Main Results:

  • Risk has multiple interpretations, leading to divergence between objective and subjective assessments.
  • Scientific uncertainty and expert disagreement complicate risk assessment.
  • Policy decisions involve political judgment, considering risk acceptability and cost-benefit analyses.

Conclusions:

  • Effective regulation requires navigating scientific ambiguity and diverse risk perceptions.
  • Policy translation of risk assessment is inherently political.
  • Examples highlight challenges in regulating pesticides, animal diseases, and public health behaviors.