International differences in treatment effect: do they really exist and why?
Related Experiment Video
Updated: May 13, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Stuart Pocock1, Gonzalo Calvo, Jaume Marrugat
1Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Abstract:
With the increasing globalization of clinical trials, the opportunity exists to explore potential geographic differences in treatment effect within any major trial. Such geographic differences may arise because of international differences in patient selection, medical practice, or evaluation of outcomes, and such international variations need better documentation in trial reports. Appropriate pre-defined statistical analyses, including statistical tests of interaction regarding geographic heterogeneity in treatment effect, are important. Geographic variations are a particularly tricky form of subgroup analysis: they lack statistical power, are at best hypothesis-generating and can generate more confusion than insight. Referring to key examples, e.g. the PLATO and MERIT-HF, we emphasize the need for caution in interpreting evidence of potential geographic inconsistencies in treatment effect. Although it is appropriate to explore any biological or practical reasons for apparent geographic anomalies in treatment effect, the play of chance is often the most plausible and wise interpretation.
Related Concept Videos
Regression Toward the Mean
Bioequivalence of Drugs: Drugs with Multiple Indications
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
The Placebo Effect
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Bioequivalence Data: Statistical Interpretation
