Sample size calculations for blinding assessment

Victoria Landsman, Mark Fillery, Howard Vernon, Heejung Bang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Blinding is a critical component in randomized clinical trials along with treatment effect estimation and comparisons between the treatments. Various methods have been proposed for the statistical analyses of blinding-related data, but there is little guidance for determining the sample size for this type of data, especially if blinding assessment is done in pilot studies. In this paper, we try to fill this gap and provide simple methods to address sample size calculations for a “new” study with different research questions and scenarios. The proposed methods are framed in terms of estimation/precision or statistical testing to allow investigators to choose the best suited method for their goals. We illustrate the methods using worked examples with real data.

Original languageEnglish (US)
Pages (from-to)1-13
Number of pages13
JournalJournal of Biopharmaceutical Statistics
DOIs
StateAccepted/In press - Nov 20 2017

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Keywords

  • Blinding index
  • clinical trial
  • contingency table
  • masking
  • patient blinding

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Cite this

Sample size calculations for blinding assessment. / Landsman, Victoria; Fillery, Mark; Vernon, Howard; Bang, Heejung.

In: Journal of Biopharmaceutical Statistics, 20.11.2017, p. 1-13.

Research output: Contribution to journalArticle

Landsman, Victoria ; Fillery, Mark ; Vernon, Howard ; Bang, Heejung. / Sample size calculations for blinding assessment. In: Journal of Biopharmaceutical Statistics. 2017 ; pp. 1-13.
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