Sample Size Estimation: A Glimpse beyond Simple Formulas

Research output: Contribution to journalReview articlepeer-review

29 Scopus citations

Abstract

Small increments in the complexity of clinical studies can readily take sample size estimation and statistical power analysis beyond the capabilities of simple mathematic formulas. In this article, the method of simulation is presented as a general technique with which sample size may be calculated for complex study designs. Applications of simulation for determining sample size requirements in studies involving correlated data and comparisons of receiver operating characteristic curves are discussed.

Original languageEnglish (US)
Pages (from-to)606-612
Number of pages7
JournalRADIOLOGY
Volume230
Issue number3
DOIs
StatePublished - Mar 2004

Keywords

  • Radiology and radiologists, research
  • Receiver operating characteristic (ROC) curve
  • Statistical analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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