View in EDS

Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals.

Saved in:
Bibliographic Details
Title: Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals.
Authors: Legha A; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom. Electronic address: a.legha@bham.ac.uk., Ensor J; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom., Whittle R; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom., Archer L; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom; Institute of Data and AI, University of Birmingham, Birmingham, United Kingdom., Van Calster B; Leuven Unit for Health Technology Assessment Research (LUHTAR), KU Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium., Christodoulou E; German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany., Snell KIE; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom., Sadatsafavi M; Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada., Collins GS; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom., Riley RD; Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, United Kingdom.
Source: Journal of clinical epidemiology [J Clin Epidemiol] 2026 Mar; Vol. 191, pp. 112117. Date of Electronic Publication: 2025 Dec 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-5921
DOI:10.1016/j.jclinepi.2025.112117