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Principle of sample size calculation in gastroenterology research: a practical guide for clinicians

  • Antonio Facciorusso*
  • , Viktor Domislovic
  • , Lorenzo Fuccio
  • , Ivo Boskoski
  • , Cristiano Spada
  • , Gabriele Capurso
  • , Marianna Arvanitakis
  • , Marcello Maida
  • *Corresponding author
  • University of Oslo
  • University of Foggia
  • University of Zagreb
  • University of Bologna
  • Vita-Salute San Raffaele University
  • IRCCS San Raffaele Scientific Institute
  • Université libre de Bruxelles
  • Kore University of Enna

Research output: Contribution to journalArticle

Abstract

Introduction: A proper sample size calculation enables to conduct adequately powered randomized controlled trials (RCTs) and to provide a valid assessment of a specific clinical question. Areas covered: In the current manuscript, we tried to provide the reader with an easy guide on the principles of sample size calculation in RCTs, tailored specifically to the context of gastroenterology and hepatology. The basics of sample size calculation were commented with a description of some of the main methods, including the calculation of the non-inferiority margin for non-inferiority RCTs and the calculation of the minimum clinically important difference (MCID). Some examples from the gastroenterology literature were also provided. Expert opinion: Collaborating with a biostatistician can provide valuable insights into the nuances of sample size calculation and study design. However, it is crucial that the clinicians understand the basics of calculating sample size, so they could provide valuable input in designing the study from a clinical point of view.
Original languageEnglish
Pages (from-to)561-565
Number of pages5
JournalExpert Review of Gastroenterology and Hepatology
Volume18
Issue number10
DOIs
Publication statusPublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Hepatology
  • Gastroenterology

Keywords

  • Statistics
  • endoscopy
  • hepatology
  • significance
  • trial

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