Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model.

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Bibliographic Details
Title: Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model.
Authors: Ensor J; Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK., Snell KIE; Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK., Debray TPA; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands., Lambert PC; Biostatistics Research Group, Department of Health Sciences, University of Leicester, Centre for Medicine, Leicester, UK.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Look MP; Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands., Mamas MA; Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK.; Department of Cardiology, Royal Stoke University Hospital, Stoke-on-Trent, UK., Moons KGM; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands., Riley RD; Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK.
Source: Statistics in medicine [Stat Med] 2021 Jun 15; Vol. 40 (13), pp. 3066-3084. Date of Electronic Publication: 2021 Mar 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1097-0258
DOI:10.1002/sim.8959