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Sample Size Re-Estimation Based on Two-Stage Analysis of Variance: Interim Analysis of Clinical Trials |
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| Authors: | Dejian Lai Lemuel A Moyé Kuang-Chao Chang Robert J Hardy |
| Institution: | 1. Division of Biostatistics , School of Public Health, The University of Texas , Houston , Texas , USA;2. Faculty of Statistics , Jiangxi University of Finance and Economics , Nanchang , China Dejian.Lai@uth.tmc.edu;4. Division of Biostatistics , School of Public Health, The University of Texas , Houston , Texas , USA;5. Department of Statistics and Information Science , Fu Jen Catholic University , Taipei , Taiwan |
| Abstract: | Planning and conducting interim analysis are important steps for long-term clinical trials. In this article, the concept of conditional power is combined with the classic analysis of variance (ANOVA) for a study of two-stage sample size re-estimation based on interim analysis. The overall Type I and Type II errors would be inflated by interim analysis. We compared the effects on re-estimating sample sizes with and without the adjustment of Type I and Type II error rates due to interim analysis. |
| Keywords: | Clinical trials Conditional power Non central F Two-stage ANOVA |