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Cost-effectiveness analysis for multinational clinical trials.

Eleanor M Pinto1, Andrew R Willan, Bernie J O'Brien

  • 1Program in Population Health Sciences, Research Institute, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, Canada M5G 1X8.

Statistics in Medicine
|April 2, 2005
PubMed
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Shrinkage estimation offers a balanced approach for multinational cost-effectiveness studies. This method provides precise, country-specific results, improving upon pooled or stratified analyses for healthcare policy decisions.

Area of Science:

  • Health economics
  • Clinical trial methodology
  • Biostatistics

Background:

  • Multinational clinical trials present challenges in cost-effectiveness analysis due to potential between-country heterogeneity in costs.
  • Traditional methods like pooled estimates can obscure country-specific nuances, while country-specific analyses may lack statistical precision.
  • Policy decisions are often national, necessitating reliable country-level cost-effectiveness data.

Purpose of the Study:

  • To propose and evaluate shrinkage estimation as a method to balance precision and country-specificity in multinational cost-effectiveness analyses.
  • To compare univariate and multivariate shrinkage estimators against traditional pooled and stratified methods.
  • To illustrate the application of shrinkage estimation using real-world data from a multinational trial.

Related Experiment Videos

Main Methods:

  • Development of univariate and multivariate shrinkage estimators for costs and effects in multinational settings.
  • A simulation study to compare the performance of shrinkage estimators with pooled and stratified subgroup analyses.
  • Application of the proposed methods to data from a multinational trial on thrombolytic drugs for acute myocardial infarction.

Main Results:

  • Shrinkage estimators provide country-specific results that are less variable than those from traditional subgroup analyses.
  • Simulation results demonstrate the advantages of shrinkage estimation in achieving a balance between precision and interpretability.
  • The methods are effectively illustrated using data from a trial on thrombolytic drug regimens.

Conclusions:

  • Shrinkage estimation represents a valuable compromise for analyzing cost-effectiveness data from multinational clinical trials.
  • This approach enhances the reliability of country-specific estimates, supporting informed national policy decisions.
  • Shrinkage methods offer improved precision and interpretability compared to conventional pooled or stratified analyses.