3 papers
stat.CO2026
Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
Oyebayo Ridwan Olaniran, Diana Shamsutdinova, Sarah Markham +4
Background: Determining an adequate sample size is essential for developing reliable and generalisable clinical prediction models, yet practical guidance on selecting appropriate m…
cs.LG2026
Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package
Diana Shamsutdinova, Felix Zimmer, Oyebayo Ridwan Olaniran +4
Background: Clinical prediction models are increasingly used to inform healthcare decisions, but determining the minimum sample size for their development remains a critical and un…
cs.CL2026
Determinants of Training Corpus Size for Clinical Text Classification
Jaya Chaturvedi, Saniya Deshpande, Chenkai Ma +5
Introduction: Clinical text classification using natural language processing (NLP) models requires adequate training data to achieve optimal performance. For that, 200-500 document…