Statistical issues in the design, conduct and analysis of two large safety studies

Clin Trials. 2016 Oct;13(5):513-8. doi: 10.1177/1740774516657336. Epub 2016 Jun 30.

Abstract

Background/aims: The emergence, post approval, of serious medical events, which may be associated with the use of a particular drug or class of drugs, is an important public health and regulatory issue. The best method to address this issue is through a large, rigorously designed safety study. Therefore, it is important to elucidate the statistical issues involved in these large safety studies.

Methods: Two such studies are PRECISION and EAGLES. PRECISION is the primary focus of this article. PRECISION is a non-inferiority design with a clinically relevant non-inferiority margin. Statistical issues in the design, conduct and analysis of PRECISION are discussed.

Results: Quantitative and clinical aspects of the selection of the composite primary endpoint, the determination and role of the non-inferiority margin in a large safety study and the intent-to-treat and modified intent-to-treat analyses in a non-inferiority safety study are shown. Protocol changes that were necessary during the conduct of PRECISION are discussed from a statistical perspective. Issues regarding the complex analysis and interpretation of the results of PRECISION are outlined. EAGLES is presented as a large, rigorously designed safety study when a non-inferiority margin was not able to be determined by a strong clinical/scientific method. In general, when a non-inferiority margin is not able to be determined, the width of the 95% confidence interval is a way to size the study and to assess the cost-benefit of relative trial size.

Conclusion: A non-inferiority margin, when able to be determined by a strong scientific method, should be included in a large safety study. Although these studies could not be called "pragmatic," they are examples of best real-world designs to address safety and regulatory concerns.

Keywords: EAGLES; Large safety trial; PRECISION; informative censoring; intent-to-treat; modified intent-to-treat; non-inferiority margin.

MeSH terms

  • Biomedical Research / statistics & numerical data*
  • Humans
  • Prescription Drugs / standards*
  • Research Design / statistics & numerical data*
  • Safety Management / organization & administration*

Substances

  • Prescription Drugs