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Statistical consideration in testing for assay sensitivity in a 'thorough' QT study
- Source :
- Journal of biopharmaceutical statistics. 20(3)
- Publication Year :
- 2010
-
Abstract
- The current guidelines, ICH E14, for the evaluation of non-antiarrhythmic compounds recommends a "thorough" QT study (TQT) to be conducted during clinical development. Typically the treatment arms in the TQT study should include study drug at therapeutic and supra-therapeutic doses, placebo and a positive control such as Moxifloxacin (Avelox). The current hypothesis for assay sensitivity involves testing at pre-selected time points, where electrocardiograms (ECG) are obtained, if the mean baseline adjusted differences between positive control and placebo are greater than 5 ms. Since multiple time points are tested, the overall type I error rate should be adjusted using an appropriate multiple comparison procedure. In this article, we consider some recently proposed tests (Zhang, 2008) and explore the use of some standard global test procedures such as O'Brien's ordinary least squares (OLS) and Lauter's standardized sum (SS) tests for testing sensitivity of positive control. The powers of several test procedures are evaluated using simulation. The simulation shows that Zhang's method performs quite well in general but the OLS and SS tests have higher power when the coefficient of variations of QTc intervals have high heterogeneity.
- Subjects :
- Statistics and Probability
Time Factors
Moxifloxacin
Placebo
Electrocardiography
Anti-Infective Agents
Heart Rate
Statistics
medicine
Multiple time
Humans
Pharmacology (medical)
Computer Simulation
Sensitivity (control systems)
Least-Squares Analysis
Pharmacology
Aza Compounds
Clinical Trials as Topic
Cross-Over Studies
Models, Statistical
business.industry
Arrhythmias, Cardiac
Assay sensitivity
Test (assessment)
Data Interpretation, Statistical
Ordinary least squares
Quinolines
business
medicine.drug
Type I and type II errors
Fluoroquinolones
Subjects
Details
- ISSN :
- 15205711
- Volume :
- 20
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of biopharmaceutical statistics
- Accession number :
- edsair.doi.dedup.....ed479ea9a18663b5831972a077073d39