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Comparison of Concordance Correlation Coefficient and Coefficient of Individual Agreement in Assessing Agreement
Authors:Huiman X. Barnhart  Yuliya Lokhnygina  Andrzej S. Kosinski  Michael Haber
Affiliation:1. Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute , Duke University , Durham, North Carolina, USA huiman.barnhart@duke.edu;3. Department of Biostatistics and Bioinformatics, Duke Clinical Research Institute , Duke University , Durham, North Carolina, USA;4. Department of Biostatistics , The Rollins School of Public Health, Emory University , Atlanta, Georgia, USA
Abstract:Phase II clinical trials are conducted to test whether a drug has a minimum desired effect and to assess whether further development of the drug is warranted. They are often designed as one-arm trials with response rate as the primary endpoint, and a two-stage design is often used to ensure early termination of the trial for futility. To control the type I error rate and guarantee the specified power of the study, planned sample sizes for both stages must be rigidly followed, but a literature review suggests that actual sample size often differs from that planned. We propose to extend simple two-stage designs to allow more flexible sampling plans in both stages. Our designs are preferable to similar extensions proposed to control type I and II error probabilities. Additionally, our assumptions regarding distribution of the actual sample size at the end of stage 1 are more lenient. A list of optimal designs for typical error rates and the selected null and alternative response rates is presented.
Keywords:Agreement  Coefficient of individual agreement  Concordance correlation coefficient  Intraclass correlation coefficient  Method comparison
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