Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package explores An R package using adaptive Gaussian processes to efficiently estimate optimal sample sizes for clinical prediction models, outperforming existing methods in challenging scenarios.. Commercial viability score: 5/10 in Clinical AI.