Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Statistics review 11: assessing risk.

Viv Bewick1, Liz Cheek, Jonathan Ball

  • 1School of Computing, Mathematical and Information Sciences, University of Brighton, Brighton, UK. v.bewick@brighton.ac.uk

Critical Care (London, England)
|August 18, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Understanding and addressing the obstacles to a trial of face masks in schools: a mixed-methods feasibility study.

Pilot and feasibility studies·2026
Same author

Is Respiratory Effort an Additional Priority in Acute Respiratory Distress Syndrome?

Critical care medicine·2025
Same author

Ethanol downregulates gastrula gene expression and cell movement, causing symptoms of foetal alcohol spectrum disorders.

Biology open·2025
Same author

Lessons from the PROTECT-CH COVID-19 platform trial in care homes.

Health technology assessment (Winchester, England)·2025
Same author

Blood pressure management in acute spinal cord injury: A retrospective study of acute intensive care management of traumatic spinal cord injury in two New South Wales referral centres.

Australian critical care : official journal of the Confederation of Australian Critical Care Nurses·2024
Same author

Bridging the Gap: Comparison of Outpatient Clinic and Emergency Department Patients Undergoing Cholecystectomy.

The Journal of surgical research·2024
Same journal

Efficacy of higher-dose versus lower-dose corticosteroids in community-acquired pneumonia: a systematic review and network meta-analysis.

Critical care (London, England)·2026
Same journal

Prehospital lactate, transfer time, and early mortality across emergency diagnostic categories.

Critical care (London, England)·2026
Same journal

Correction: VExUS score: optimizing its use in perioperative and critical care management.

Critical care (London, England)·2026
Same journal

Optimizing β-lactam antibiotics with the highest concentration-for continuous infusion reduce carbon footprint in intensive care.

Critical care (London, England)·2026
Same journal

Physiological and clinical effects of selected airway clearance techniques in mechanically ventilated adult ICU patients: a systematic review and synthesis without meta-analysis.

Critical care (London, England)·2026
Same journal

How we use the neurological pupil index (NPi).

Critical care (London, England)·2026
See all related articles

This review explains confidence intervals for relative risk and odds ratio. It discusses when to use each measure and how to assess risk factors and treatment success in clinical trials.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Clinical Trials

Background:

  • Relative risk and odds ratio are key measures in statistical analysis.
  • Previous reviews introduced these measures, necessitating further explanation on their interpretation.

Purpose of the Study:

  • To describe the calculation and interpretation of confidence intervals for relative risk and odds ratio.
  • To discuss the appropriate use and relative merits of relative risk and odds ratio.
  • To introduce methods for measuring risk factor impact and treatment success.

Main Methods:

  • Statistical analysis of relative risk and odds ratio.
  • Interpretation of confidence intervals.
  • Discussion of application scenarios and comparative advantages.

Related Experiment Videos

Main Results:

  • Provides guidance on calculating and interpreting confidence intervals for relative risk and odds ratio.
  • Outlines criteria for selecting between relative risk and odds ratio.
  • Presents a method for quantifying risk factor impact.

Conclusions:

  • Understanding confidence intervals enhances the interpretation of relative risk and odds ratio.
  • Appropriate selection and application of these measures are crucial for accurate risk assessment and treatment evaluation.