Cancer Biostatistics Monthly Seminar with Hua Yun Chen, PhD
Sample Size Determination for Adaptive Crossover Trial in Detecting Gene-Drug Interactions
Hua Yun Chen, PhD
Professor of Biostatistics
Division of Epidemiology and Biostatistics
School of Public Health
University of Illinois at Chicago
Parallel design and crossover design are two of the most frequently used designs for studying drug-gene interactions. Due to the concerns of statistical power and ethics, it is often more prudent to use the crossover design while allowing the patients to have choices of not switching the treatment if the first stage treatment is effective. This complicates the calculation of the required sample size to achieve pre-specified statistical power. We propose a method to determine the required sample size with a closed-form formula. The proposed approach is applied to determine the sample size of an adaptive crossover trial in studying gene-drug interaction in treating atrial fibrillation, the most common cardiac arrhythmia in clinical practice. Our simulation study confirms the power achieved by the sample size determined using the proposed approach. Issues related to the adaptive crossover trial are also discussed and practical guidelines are provided.
Meeting ID: 851 2752 0934
This group meets monthly from Noon – 1 p.m. The meeting agenda includes a presentation, programmatic announcements, and updates from Cancer Center program leaders.