The abuse of Power, P-values and the Misnomer of Statistical “Testing”

  • Editorial Office
  • Malachy O Columb Manchester University Hospitals NHS Foundation Trust
  • Gary Minto Plymouth University

Abstract

In estimating the sample size in the design of a randomised controlled trial (RCT) certain assumptions are necessary. Critical amongst these is an educated guess as to how much difference the intervention might be expected to make and whether this will be of clinical importance. Typically, investigators will estimate a likely value for the defined primary outcome in the control group, and then decide what a clinically meaningful difference would be in the intervention group as the “effect size”. Roughly speaking, the larger the difference or effect size that the intervention is anticipated to make, the smaller the sample required for the study.

Author Biographies

Malachy O Columb, Manchester University Hospitals NHS Foundation Trust
Consultant in Anaesthesia & Intensive Medicine Acute Intensive Care Unit Manchester University Hospitals NHS Foundation Trust Wythenshawe
Gary Minto, Plymouth University
Consultant in Anaesthesia University Hospitals Plymouth NHS Trust; and Honorary Associate Professor Plymouth University Peninsula Schools of Medicine & Dentristy Plymouth
Published
2018-04-03
Section
Editorial