A simulation-based sample size determination framework uses Gaussian process regression and efficient global optimization to find Pareto-optimal trial designs with multiple design parameters and constraints.
Sample size and power calculations for medical studies by simulation when closed form expressions are not a vail- able
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Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters
A simulation-based sample size determination framework uses Gaussian process regression and efficient global optimization to find Pareto-optimal trial designs with multiple design parameters and constraints.