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Blinded sample size recalculation for clinical trials with normal data and baseline adjusted analysis

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Friede, Tim and Kieser, Meinhard. (2011) Blinded sample size recalculation for clinical trials with normal data and baseline adjusted analysis. Pharmaceutical Statistics, Vol.10 (No.1). pp. 8-13. ISSN 1539-1604

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1002/pst.398

Abstract

Baseline adjusted analyses are commonly encountered in practice, and regulatory guidelines endorse this practice. Sample size calculations for this kind of analyses require knowledge of the magnitude of nuisance parameters that are usually not given when the results of clinical trials are reported in the literature. It is therefore quite natural to start with a preliminary calculated sample size based on the sparse information available in the planning phase and to re-estimate the value of the nuisance parameters (and with it the sample size) when a portion of the planned number of patients have completed the study. We investigate the characteristics of this internal pilot study design when an analysis of covariance with normally distributed outcome and one random covariate is applied. For this purpose we first assess the accuracy of four approximate sample size formulae within the fixed sample size design. Then the performance of the recalculation procedure with respect to its actual Type I error rate and power characteristics is examined. The results of simulation studies show that this approach has favorable properties with respect to the Type I error rate and power. Together with its simplicity, these features should make it attractive for practical application. (C) Copyright 2009 John Wiley & Sons, Ltd.

Item Type: Journal Article
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine > Warwick Medical School
Journal or Publication Title: Pharmaceutical Statistics
Publisher: John Wiley & Sons Ltd.
ISSN: 1539-1604
Date: January 2011
Volume: Vol.10
Number: No.1
Page Range: pp. 8-13
Identification Number: 10.1002/pst.398
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/41434

Data sourced from Thomson Reuters' Web of Knowledge

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