The effects of outcome misclassification and measurement error on the design and analysis of therapeutic equivalence trials
- 28 June 2001
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 20 (14) , 2065-2078
- https://doi.org/10.1002/sim.847
Abstract
In any clinical trial, the use of imperfect diagnostic procedures or laboratory techniques may lead to misclassification and measurement error in the primary outcome. Although the effects of non-differential outcome misclassification and measurement error on conventional superiority trials have been extensively investigated, less is known about the impact of these errors on the results and interpretation of therapeutic equivalence trials. In this paper we formally investigate the effects of outcome misclassification and measurement error on the estimates of treatment effects, type I error rate, and power of equivalence trials. Our results indicate that, contrary to what one may expect based on the well known attenuating effects of non-differential error in conventional studies, these errors do not always favour the goal of demonstrating equivalence. The magnitude and direction of the influence depend on a number of factors including the nature of the outcome variable, specific formulation of equivalence, size of the error rates, and assumptions regarding the true treatment effect. Copyright © 2001 John Wiley & Sons, Ltd.Keywords
This publication has 19 references indexed in Scilit:
- Trials to assess equivalence: the importance of rigorous methodsBMJ, 1996
- Exposure Measurement Error: Influence on Exposure-Disease Relationships and Methods of CorrectionAnnual Review of Public Health, 1993
- Test statistics and sample size formulae for comparative binomial trials with null hypothesis of non‐zero risk difference or non‐unity relative riskStatistics in Medicine, 1990
- A review of methods for misclassified categorical data in epidemiologyStatistics in Medicine, 1989
- Variance estimation for epidemiologic effect estimates under misclassificationStatistics in Medicine, 1988
- Effects of mismodelling and mismeasuring explanatory variables on tests of their association with a response variableStatistics in Medicine, 1988
- [The Statistical Precision of Medical Screening Procedures: Application to Polygraph and AIDS Antibodies Test Data]: CommentStatistical Science, 1987
- The Effects of Misclassification on the Bias in the Difference Between Two Proportions and the Relative Odds in the Fourfold TableJournal of the American Statistical Association, 1975
- Misclassification in 2 X 2 TablesBiometrics, 1954