Test statistics and sample size formulae for comparative binomial trials with null hypothesis of non‐zero risk difference or non‐unity relative risk
- 1 December 1990
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 9 (12), 1447-1454
- https://doi.org/10.1002/sim.4780091208
Abstract
When it is required to establish a materially significant difference between two treatments, or, alternatively, to show that two treatments are equivalent, standard test statistics and sample size formulae based on a null hypothesis of no difference no longer apply. This paper reviews some of the test statistics and sample size formulae proposed for comparative binomial trials when the null hypothesis is of a specified non‐zero difference or non‐unity relative risk. Methods based on restricted maximum likelihood estimation are recommended and applied to studies of pertussis vaccine.Keywords
This publication has 16 references indexed in Scilit:
- How to establish equivalence between treatments: A one‐sided clinical trial in paediatric oncologyStatistics in Medicine, 1989
- Comparative analysis of two ratesStatistics in Medicine, 1985
- Confidence Intervals for the Ratio of Two Binomial ProportionsBiometrics, 1984
- “Proving the null hypothesis” in clinical trialsControlled Clinical Trials, 1982
- Introduction to sample size determination and power analysis for clinical trialsControlled Clinical Trials, 1981
- NonformationBiometrika, 1976