Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals.
Saved in:
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41423140 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Legha+A%22">Legha A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ensor+J%22">Ensor J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Whittle+R%22">Whittle R</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Archer+L%22">Archer L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Van+Calster+B%22">Van Calster B</searchLink>; Leuven Unit for Health Technology Assessment Research (LUHTAR), KU Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.<br /><searchLink fieldCode="AU" term="%22Christodoulou+E%22">Christodoulou E</searchLink>; German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Snell+KIE%22">Snell KIE</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Sadatsafavi+M%22">Sadatsafavi M</searchLink>; Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada.<br /><searchLink fieldCode="AU" term="%22Collins+GS%22">Collins GS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Riley+RD%22">Riley RD</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228801383%22">Journal of clinical epidemiology</searchLink> [J Clin Epidemiol] 2026 Mar; Vol. 191, pp. 112117. <i>Date of Electronic Publication: </i>2025 Dec 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8801383 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-5921 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208954356%22">08954356 </searchLink><i>NLM ISO Abbreviation: </i>J Clin Epidemiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41423140 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jclinepi.2025.112117 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 112117 Titles: – TitleFull: Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Legha A – PersonEntity: Name: NameFull: Ensor J – PersonEntity: Name: NameFull: Whittle R – PersonEntity: Name: NameFull: Archer L – PersonEntity: Name: NameFull: Van Calster B – PersonEntity: Name: NameFull: Christodoulou E – PersonEntity: Name: NameFull: Snell KIE – PersonEntity: Name: NameFull: Sadatsafavi M – PersonEntity: Name: NameFull: Collins GS – PersonEntity: Name: NameFull: Riley RD IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1878-5921 Numbering: – Type: volume Value: 191 Titles: – TitleFull: Journal of clinical epidemiology Type: main |
| ResultId | 1 |