Tuesday, Aug 6: 10:30 AM - 12:20 PM
3796
Contributed Posters
Oregon Convention Center
Medical device studies frequently present study design challenges due to the use of modest sample sizes and/or data distributions that differ from standard mathematical families of distributions. With increasing adoption of novel endpoints (e.g. hierarchical composites), statistical methods (e.g. restricted mean survival time for comparing time-to-event data), and complex adaptive designs, asymptotic formulas for sample size calculation and evaluation of operating characteristics are unavailable or unreliable. Simulation affords a practical and flexible method to optimize study design, through evaluation of the robustness of proposed statistical methods and sample size estimates. Similarly, in cases where pilot or feasibility study data is available, resampling methods may be employed to help evaluate the performance of planned statistical analysis methods and adequacy of sample size. This poster present examples of effective use of simulation and re-sampling based on recent experience with designing and reporting on medical device studies.
simulation
medical device
study design
conditional power
win ratio
restricted mean survival time
Main Sponsor
Section on Medical Devices and Diagnostics