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

A bootstrap approach to medical decision analysis.

S T Mennemeyer1, L P Cyr

  • 1University of Alabama at Birmingham, School of Public Health, USA. smenneme@uab.edu

Journal of Health Economics
|November 3, 1997
PubMed
Summary

This study introduces a systematic approach to sensitivity analysis in health economic evaluations. Bootstrap sampling helps assess variability in patient response and economic outcomes from clinical trials.

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

Anniston community health survey: Follow-up and dioxin analyses (ACHS-II)--methods.

Environmental science and pollution research international·2015
Same author

Randomized comparison of ultrasound surveillance and clinical monitoring on arteriovenous graft outcomes.

Kidney international·2006
Same author

Reducing the cost of diagnosis of breast carcinoma: impact of ultrasound and imaging-guided biopsies on a clinical breast practice.

Cancer·2001
Same author

Should laboratories be judged by patient outcomes?

Clinical laboratory management review : official publication of the Clinical Laboratory Management Association·1998
Same author

Antiviral therapy for neonatal herpes simplex virus: a cost-effectiveness analysis.

The American journal of managed care·1997
Same author

Death and reputation: how consumers acted upon HCFA mortality information.

Inquiry : a journal of medical care organization, provision and financing·1997

Area of Science:

  • Health economics
  • Biostatistics
  • Clinical trial analysis

Background:

  • Sensitivity analysis is crucial for health economic evaluations (cost-benefit, cost-effectiveness, cost-utility analyses).
  • Current methods often rely on ad hoc parameter changes, neglecting the impact of random data variation.
  • Assessing the robustness of economic models to data variability and sampling error is essential.

Purpose of the Study:

  • To propose a systematic approach for sensitivity analysis in health economic evaluations.
  • To utilize bootstrap sampling for exploring variability in patient response and economic consequences.
  • To enhance the reliability of cost-benefit, cost-effectiveness, and cost-utility analyses.

Main Methods:

  • Application of bootstrap sampling to simulate multiple replications of a clinical trial.
  • Systematic exploration of the impact of random variation in data on model outcomes.
  • Evaluation of patient response and economic consequences under varying data conditions.

Main Results:

  • Bootstrap sampling provides a comprehensive method to assess the sensitivity of economic evaluations.
  • This approach quantifies the potential variation in patient outcomes and economic impacts.
  • It offers a more robust understanding of model uncertainty compared to traditional methods.

Conclusions:

  • A systematic bootstrap sampling approach improves the rigor of sensitivity analysis in health economic evaluations.
  • This method better accounts for data variation and sampling error, leading to more reliable conclusions.
  • The proposed technique enhances the trustworthiness of cost-benefit, cost-effectiveness, and cost-utility analyses.

Related Experiment Videos