Jove
Visualize
Contact Us

Related Experiment Videos

Bootstrapping: estimating confidence intervals for cost-effectiveness ratios.

M K Campbell1, D J Torgerson

  • 1Health Services Research Unit University of Aberdeen, UK.

QJM : Monthly Journal of the Association of Physicians
|May 18, 1999
PubMed
Summary

Bootstrapping is a practical statistical method for calculating confidence intervals in health economic evaluations. This technique ensures cost-effectiveness ratios accurately reflect sample data variance, improving study reliability.

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

Patient information leaflets for placebo-controlled surgical trials: a review of current practice and recommendations for developers.

Trials·2024
Same author

Trial Forge Guidance 4: a guideline for reporting the results of randomised Studies Within A Trial (SWATs).

Trials·2024
Same author

Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2023
Same author

A randomised controlled trial of compression therapies for the treatment of venous leg ulcers (VenUS 6): study protocol for a pragmatic, multicentre, parallel-group, three-arm randomised controlled trial.

Trials·2023
Same author

Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2022
Same author

Correction to Effect of vitamin K on bone mineral density and fractures in adults: an updated systematic review and meta-analysis of randomised controlled trials.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2020
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

Area of Science:

  • Health economics
  • Biostatistics
  • Clinical trial analysis

Background:

  • Economic evaluations alongside clinical trials are common.
  • Estimating resource consequences requires handling stochastic data.
  • Reflecting sample data variance in economic results is crucial.

Purpose of the Study:

  • To demonstrate the practical application of bootstrapping for confidence intervals in cost-effectiveness ratios.
  • To highlight the ease of transferring bootstrapping from theory to practice.
  • To encourage further research into bootstrapping's use in economic evaluations.

Main Methods:

  • Utilizing bootstrapping, a statistical resampling technique.
  • Applying bootstrapping to real-world data from clinical trials.

Related Experiment Videos

  • Calculating confidence intervals for cost-effectiveness ratios.

    • Main Results:

    • Bootstrapping is readily transferable from theory to practice.
    • Confidence intervals for cost-effectiveness ratios can be reliably estimated using bootstrapping.
    • The study provides a practical demonstration with real data.

    Conclusions:

    • Bootstrapping is a viable and practical method for economic evaluations.
    • Confidence intervals should be reported in economic evaluations to reflect data variance.
    • Further investigation into bootstrapping's application is recommended.