Statistical power and sample size: Some fundamentals for clinician researchers

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter aims to arm clinical researchers with the necessary conceptual and practical tools (1) to understand what sample size or power analysis is, (2) to conduct such analyses for basic low-risk studies, and (3) to recognize when it is necessary to seek expert advice and input. I hope it is obvious that this chapter aims to serve as a general guide to the issues; specific details and mathematical presentations may be found in the cited literature. Additionally, it should be obvious that this discussion of statistical power is focused, appropriately, on quantitative investigations into real or hypothetical effects of treatments or interventions. It does not address qualitative study designs. The ultimate goal here is to help practicing clinical researcher get started with power analyses.

Original languageEnglish (US)
Title of host publicationEssentials of Clinical Research, Second Edition
PublisherSpringer International Publishing
Number of pages18
ISBN (Electronic)9783319054704
ISBN (Print)9783319054698
StatePublished - Jan 1 2014

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.


  • Inference
  • Minimal detectable effect
  • Standard error
  • Statistical power
  • Type I and II error


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