Sample size determination using an interim analysis
- 1 January 1993
- journal article
- research article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 3 (2) , 159-166
- https://doi.org/10.1080/10543409308835057
Abstract
Interim analyses are often employed to terminate comparative clinical trials for ethical or economic reasons when the evidence indicates that one treatment is superior to the other. Here an interim analysis is proposed for the situation where a one-sided test is to be performed. The proposed interim analysis consists of a one-sided test to terminate the clinical trial if it appears that the null hypothesis of interest is true. By noting that incorporation of a single interim analysis is similar to the two-stage procedure used for constructing a test procedure with power independent of the unknown variance, it also includes estimation of the variance, which can be used to control the power of the test if the trial is not terminated. Various properties of this two-stage procedure and derivation of the constants needed for its implementation are presented.Keywords
This publication has 10 references indexed in Scilit:
- Interim analyses for monitoring clinical trials that do not materially affect the type I error rateStatistics in Medicine, 1992
- The role of internal pilot studies in increasing the efficiency of clinical trialsStatistics in Medicine, 1990
- A one-sided interim analysis with binary outcomesControlled Clinical Trials, 1988
- A clinical trial with an interim analysisStatistics in Medicine, 1988
- A two-stage design for randomized trials with binary outcomesControlled Clinical Trials, 1987
- A clinical trial with an interim analysisStatistics in Medicine, 1986
- Use of the Range to Estimate VariabilityJournal of Quality Technology, 1975
- A Method for Selecting the Size of the Initial Sample in Stein's Two Sample ProcedureThe Annals of Mathematical Statistics, 1958
- On Stein's Two-stage Sampling SchemeThe Annals of Mathematical Statistics, 1953
- A Two-Sample Test for a Linear Hypothesis Whose Power is Independent of the VarianceThe Annals of Mathematical Statistics, 1945