4 papers
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…
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…
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…
Sample Size in Natural Language Processing within Healthcare Research
Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer +4
Sample size calculation is an essential step in most data-based disciplines. Large enough samples ensure representativeness of the population and determine the precision of estimat…