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Sample size calculations for blinding assessment.
Landsman, Victoria; Fillery, Mark; Vernon, Howard; Bang, Heejung.
Affiliation
  • Landsman V; a Division of Biostatistics , Institute for Work and Health , Toronto, Ontario, Canada.
  • Fillery M; b Dalla Lana School of Public Health , University of Toronto , Toronto , Ontario , Canada.
  • Vernon H; c Department of Research , Canadian Memorial Chiropractic College , Toronto , Ontario , Canada.
  • Bang H; c Department of Research , Canadian Memorial Chiropractic College , Toronto , Ontario , Canada.
J Biopharm Stat ; 28(5): 857-869, 2018.
Article in En | MEDLINE | ID: mdl-29157126
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / Data Interpretation, Statistical / Databases, Factual Type of study: Clinical_trials / Guideline Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2018 Type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / Data Interpretation, Statistical / Databases, Factual Type of study: Clinical_trials / Guideline Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2018 Type: Article Affiliation country: Canada