| Literature DB >> 29157126 |
Victoria Landsman1,2, Mark Fillery3, Howard Vernon3, Heejung Bang4.
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.Entities:
Keywords: Blinding index; clinical trial; contingency table; masking; patient blinding
Mesh:
Year: 2017 PMID: 29157126 PMCID: PMC5960641 DOI: 10.1080/10543406.2017.1399898
Source DB: PubMed Journal: J Biopharm Stat ISSN: 1054-3406 Impact factor: 1.051