1 citations · 1 across the 3 of their papers we have counts for
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…
Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity
Anastasiia Tokareva, Judith Dineley, Zoe Firth +19
Background: Remotely captured spoken language could provide objective, regular indicators of depression symptom severity. However, research to date has largely used non-clinical, c…
A methodological framework and exemplar protocol for the collection and analysis of repeated speech samples
Nicholas Cummins, Lauren L. White, Zahia Rahman +8
Speech and language biomarkers have the potential to be regular, objective assessments of symptom severity in several health conditions, both in-clinic and remotely using mobile de…