174 related articles for article (PubMed ID: 27891652)
1. A closed testing procedure to select an appropriate method for updating prediction models.
Vergouwe Y; Nieboer D; Oostenbrink R; Debray TPA; Murray GD; Kattan MW; Koffijberg H; Moons KGM; Steyerberg EW
Stat Med; 2017 Dec; 36(28):4529-4539. PubMed ID: 27891652
[TBL] [Abstract][Full Text] [Related]
2. Validation and updating of risk models based on multinomial logistic regression.
Van Calster B; Van Hoorde K; Vergouwe Y; Bobdiwala S; Condous G; Kirk E; Bourne T; Steyerberg EW
Diagn Progn Res; 2017; 1():2. PubMed ID: 31093534
[TBL] [Abstract][Full Text] [Related]
3. Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus.
Cooray SD; De Silva K; Enticott JC; Dawadi S; Boyle JA; Soldatos G; Paul E; Versace VL; Teede HJ
J Clin Epidemiol; 2023 Dec; 164():54-64. PubMed ID: 37659584
[TBL] [Abstract][Full Text] [Related]
4. Comparison of dynamic updating strategies for clinical prediction models.
Schnellinger EM; Yang W; Kimmel SE
Diagn Progn Res; 2021 Dec; 5(1):20. PubMed ID: 34865652
[TBL] [Abstract][Full Text] [Related]
5. Methods for updating a risk prediction model for cardiac surgery: a statistical primer.
Siregar S; Nieboer D; Versteegh MIM; Steyerberg EW; Takkenberg JJM
Interact Cardiovasc Thorac Surg; 2019 Mar; 28(3):333-338. PubMed ID: 30608590
[TBL] [Abstract][Full Text] [Related]
6. Improving prediction models with new markers: a comparison of updating strategies.
Nieboer D; Vergouwe Y; Ankerst DP; Roobol MJ; Steyerberg EW
BMC Med Res Methodol; 2016 Sep; 16(1):128. PubMed ID: 27678479
[TBL] [Abstract][Full Text] [Related]
7. Updating Photon-Based Normal Tissue Complication Probability Models for Pneumonitis in Patients With Lung Cancer Treated With Proton Beam Therapy.
Jain V; Niezink AGH; Frick M; Doucette A; Mendes A; Simone CB; Langendijk JA; Wijsman R; Feigenberg SJ; Levin W; Cengel KA; van der Schaaf A; Berman AT
Pract Radiat Oncol; 2020; 10(5):e330-e338. PubMed ID: 32416270
[TBL] [Abstract][Full Text] [Related]
8. A nonparametric updating method to correct clinical prediction model drift.
Davis SE; Greevy RA; Fonnesbeck C; Lasko TA; Walsh CG; Matheny ME
J Am Med Inform Assoc; 2019 Dec; 26(12):1448-1457. PubMed ID: 31397478
[TBL] [Abstract][Full Text] [Related]
9. Calibrating random forests for probability estimation.
Dankowski T; Ziegler A
Stat Med; 2016 Sep; 35(22):3949-60. PubMed ID: 27074747
[TBL] [Abstract][Full Text] [Related]
10. Effect of model updating strategies on the performance of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.
Masconi KL; Matsha TE; Erasmus RT; Kengne AP
PLoS One; 2019; 14(2):e0211528. PubMed ID: 30730899
[TBL] [Abstract][Full Text] [Related]
11. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage.
Steyerberg EW; Borsboom GJ; van Houwelingen HC; Eijkemans MJ; Habbema JD
Stat Med; 2004 Aug; 23(16):2567-86. PubMed ID: 15287085
[TBL] [Abstract][Full Text] [Related]
12. Improved Prediction by Dynamic Modeling: An Exploratory Study in the Adult Cardiac Surgery Database of the Netherlands Association for Cardio-Thoracic Surgery.
Siregar S; Nieboer D; Vergouwe Y; Versteegh MI; Noyez L; Vonk AB; Steyerberg EW; Takkenberg JJ
Circ Cardiovasc Qual Outcomes; 2016 Mar; 9(2):171-81. PubMed ID: 26933048
[TBL] [Abstract][Full Text] [Related]
13. Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators.
Strobl AN; Vickers AJ; Van Calster B; Steyerberg E; Leach RJ; Thompson IM; Ankerst DP
J Biomed Inform; 2015 Aug; 56():87-93. PubMed ID: 25989018
[TBL] [Abstract][Full Text] [Related]
14. Recalibrating prognostic models to improve predictions of in-hospital child mortality in resource-limited settings.
Ogero M; Ndiritu J; Sarguta R; Tuti T; Aluvaala J; Akech S
Paediatr Perinat Epidemiol; 2023 May; 37(4):313-321. PubMed ID: 36745113
[TBL] [Abstract][Full Text] [Related]
15. Simple dichotomous updating methods improved the validity of polytomous prediction models.
Van Hoorde K; Vergouwe Y; Timmerman D; Van Huffel S; Steyerberg EW; Van Calster B
J Clin Epidemiol; 2013 Oct; 66(10):1158-65. PubMed ID: 23849738
[TBL] [Abstract][Full Text] [Related]
16. Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study.
Falconieri N; Van Calster B; Timmerman D; Wynants L
Biom J; 2020 Jul; 62(4):932-944. PubMed ID: 31957077
[TBL] [Abstract][Full Text] [Related]
17. Firth's logistic regression with rare events: accurate effect estimates and predictions?
Puhr R; Heinze G; Nold M; Lusa L; Geroldinger A
Stat Med; 2017 Jun; 36(14):2302-2317. PubMed ID: 28295456
[TBL] [Abstract][Full Text] [Related]
18. Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model.
Ensor J; Snell KIE; Debray TPA; Lambert PC; Look MP; Mamas MA; Moons KGM; Riley RD
Stat Med; 2021 Jun; 40(13):3066-3084. PubMed ID: 33768582
[TBL] [Abstract][Full Text] [Related]
19. A review of statistical updating methods for clinical prediction models.
Su TL; Jaki T; Hickey GL; Buchan I; Sperrin M
Stat Methods Med Res; 2018 Jan; 27(1):185-197. PubMed ID: 27460537
[TBL] [Abstract][Full Text] [Related]
20. Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review.
Binuya MAE; Engelhardt EG; Schats W; Schmidt MK; Steyerberg EW
BMC Med Res Methodol; 2022 Dec; 22(1):316. PubMed ID: 36510134
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]