Determination of the Required Sample Size with Assurance for Three-Arm Non-Inferiority Trials

Authors

  • Nor Afzalina Azmee Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjung Malim, Perak
  • Zulkifley Mohamed Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjung Malim, Perak
  • Azhar Ahmad Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjung Malim, Perak

DOI:

https://doi.org/10.11113/jt.v63.1919

Keywords:

Assurance, power, non-inferiority trial, three-arm design, BCTS

Abstract

The concept of assurance in the two-arm non-inferiority trials has been explored, expressing the non-inferiority margin as a clinically meaningful treatment difference. This short paper focuses on developing an assurance formula in the three-arm non-inferiority trial, based on the ratio of means. The discussion starts with the simple case of known variances and then extends to the case of unknown but equal variances. To avoid complicated integration, assurance for the latter case was studied using Bayesian Clinical Trial Simulation (BCTS). The findings indicate that assurance allows the experimenter to formally take into account the uncertainty surrounding the parameter estimates by using the prior distributions. Furthermore, BCTS can be easily implemented to find the required sample size without having to resort to complex integration.

References

Schulz, K. F. & Grimes D. A. 2005. Sample Size Calculations in Randomized Trials: Mandatory and Mystical. The Lancet. 365: 1348–1353.

Sackett, D. L. & Cook, D. J. 1993. Can We Learn Anything from Small Trials? Annals of the New York Academy of Sciences. 703: 25–31.

Chalmers, T.C., Levin, H. S. H. S., Reitman, D., Berrier, J. & Nagalingam, R. 1987. Meta-analysis of Clinical Trials as a Scientific Discipline, I: Control of Bias and Comparison with Large Co-operative Trials. Statistics in Medicine. 6: 315–328.

O’Hagan, A. Stevens, J. W. & Campbell, M. J. 2005. Assurance in Clinical Trial Design. Pharmaceutical Statistics. 4: 187–201.

O’Hagan, A. & Stevens, J. W. 2001. Bayesian Assessment of Sample Size for Clinical Trials of Cost-effectiveness. Medical Decision Making. 21: 219–230.

Simon, R. 2000. Clinical Trials and Sample Size Considerations: Another Perspective: Comment. Statistical Science. 15: 103–105.

Pezeshk, H. 2003. Bayesian Techniques for Sample Size Determination in Clinical Trials: A Short Review. Statistical Methods in Medical Research. 12: 489–504.

Wang, H. Chow, S. C. & Chen, M. 2005. A Bayesian Approach on Sample Size Calculation for Comparing Means. Journal of Biopharmaceutical Statistics. 15: 799–807.

Grieve, A. P. 2007. 25 Years of Bayesian Methods in the Pharmaceutical Industry: A Personal, Statistical Bummel. Pharmaceutical Statistics. 6: 261–281.

Daimon, T. 2008. Bayesian Sample Size Calculations for a Non-Inferiority Test of Two Proportions in Clinical Trials. Contemporary Clinical Trials. 29: 507–516.

Temple, R. & Ellenberg, S. S. 2000. Placebo-controlled Trials and Active-control Trials in the Evaluation of New Treatments. Part 1: Ethical and Scientific Issues. Annals of Internal Medicine. 133: 455–463.

Pigeot, I., Schӓfer, J., Rӧhmel, J. & Hauschke, D. 2003. Assessing Non-Inferiority of a New Treatment in a Three-Arm Trial Including A Placebo. Statistics in Medicine. 22: 883–889.

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Published

2013-06-15

Issue

Section

Science and Engineering

How to Cite

Determination of the Required Sample Size with Assurance for Three-Arm Non-Inferiority Trials. (2013). Jurnal Teknologi, 63(2). https://doi.org/10.11113/jt.v63.1919