Good statistical practice in utilizing real-world data in a comparative study for premarket evaluation of medical devices

J Biopharm Stat. 2019;29(4):580-591. doi: 10.1080/10543406.2019.1632880. Epub 2019 Jun 29.

Abstract

Observational (non-randomized) comparative studies have been adopted in the pre-market safety/effectiveness evaluation of medical devices. There has been an increased interest in utilizing this design with the growing available real-world data. However, in such studies, biases that are introduced in every stage and aspect of study need to be addressed. Otherwise, the objectivity of study design and validity of study results will be compromised. In this paper, challenges and opportunities are discussed from the regulatory perspective. Considerations and good statistical practice to mitigate the potential bias are presented.

Keywords: Observational comparative studies; propensity score; real-world evidence; study design.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bias
  • Data Accuracy
  • Data Interpretation, Statistical*
  • Device Approval*
  • Humans
  • Propensity Score
  • Randomized Controlled Trials as Topic*
  • Research Design