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Sample size calculations for blinding assessment.

Victoria Landsman1,2, Mark Fillery3, Howard Vernon3

  • 1a Division of Biostatistics , Institute for Work and Health , Toronto, Ontario, Canada.

Journal of Biopharmaceutical Statistics
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PubMed
Summary
This summary is machine-generated.

This study provides simple methods for calculating sample sizes for blinding assessments in clinical trials. These methods help researchers determine appropriate sample sizes for pilot studies and new research questions.

Keywords:
Blinding indexclinical trialcontingency tablemaskingpatient blinding

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Area of Science:

  • Clinical Trials Methodology
  • Biostatistics
  • Research Design

Background:

  • Blinding is crucial in randomized clinical trials for accurate treatment effect estimation and comparison.
  • Existing statistical methods for blinding data lack clear guidance on sample size determination, particularly for pilot studies.
  • This gap hinders robust planning for studies evaluating blinding effectiveness.

Purpose of the Study:

  • To develop and present straightforward methods for sample size calculations related to blinding assessments in clinical trials.
  • To provide guidance for investigators needing to determine sample sizes for blinding data in various research scenarios.
  • To address the lack of established sample size methodologies for blinding assessments, especially in early-phase research.

Main Methods:

  • The study proposes simple statistical methods for sample size calculation.
  • Methods are framed around estimation/precision and statistical testing approaches.
  • Worked examples using real-world data are provided for illustration.

Main Results:

  • The paper offers practical tools for sample size determination in blinding assessments.
  • The proposed methods cater to different research objectives, focusing on precision or hypothesis testing.
  • The methods are applicable to diverse research questions and study designs.

Conclusions:

  • The developed methods fill a critical gap in the statistical analysis of blinding in clinical trials.
  • Investigators can now more effectively plan studies by calculating appropriate sample sizes for blinding assessments.
  • This work supports more rigorous and well-powered research involving blinding evaluations.