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Diagnostic and Prognostic Research

IF2.6
Papers28
Citations
Journal Papers 28
Publication Date
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Agreement between heuristic shrinkage factor and optimal shrinkage factors in logistic regression for risk prediction: a simulation study across different sample sizes and settings
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-05-18
delete1
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deletePate, Alexander; Martin, Glen P.; Riley, Richard D.
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Variable selection for prediction models of Omicron infection: Insights from two population-based cohort studies
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-05-11
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PREAI
deleteLacy, Joanne; Menges, Dominik; Ballouz, Tala; Frei, Anja; Pellaton, Celine; Fenwick, Craig; Pantaleo, Giuseppe; Puhan, Milo A.
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Methods for Evaluating Models, Tests And Biomarkers (MEMTAB): Abstracts from the 7th International Conference, MEMTAB 2025 Abstracts
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-05-01
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PREAI
delete[Anonymous]
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Traditional statistics and artificial intelligence-based prognostic models for predicting type 2 diabetes mellitus after gestational diabetes: a systematic review
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-04-20
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deleteYimer, Nigus Bililign; Belsti, Yitayeh; Seifu, Beminate Lemma; Goldstein, Rebecca; Teede, Helena; Enticott, Joanne
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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomes
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-04-13
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deleteWhittle, Rebecca; Riley, Richard D.; Archer, Lucinda; Collins, Gary S.; Legha, Amardeep; Snell, Kym I. E.; Ensor, Joie
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Protocol for the development and validation of a risk score to predict risk of adverse events associated with systemic anti-cancer treatment in late-stage lung cancer: Lung Cancer Improved Decisions (LUCID)
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-04-08
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deleteAlmossawi, Ofran; Steventon, Luke; Keogh, Ruth; Diaz-Ordaz, Karla; Wang, Zhe; Challenger, Andrew; Dodwell, David; Forster, Martin; Man, Kenneth K. C.; Wei, Li; Masento, Sebastian; Januszewski, Adam; Chambers, Pinkie
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Raman spectroscopy as a diagnostic tool for glioma: protocol for a systematic review
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-04-01
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PREAI
deleteVrancianu, Corneliu Ovidiu; Necula, Marian; Milea, Eduard; Siminea, Nicoleta; Cristian, Roxana-Elena; Stoica, Alice; Chifiriuc, Mariana Carmen; Oancea, Bogdan; Paun, Andrei; Petre, Ion; Paun, Mihaela
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A study protocol for a predictive model to assess population-based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT)
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-03-03
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PREAI
deleteChiodo, Sabrina; Grandi, Sonia M.; Gronsbell, Jessica; Rosella, Laura C.
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The continuous net benefit: assessing the clinical utility of prediction models when informing a continuum of decisions
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-02-17
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deleteBenitez-Aurioles, Jose; Wynants, Laure; Peek, Niels; Goodley, Patrick; Crosbie, Philip; Sperrin, Matthew
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The impact of violation of the proportional hazards assumption on the discrimination of the Cox proportional hazards model
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-02-12
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deleteAustin, Peter C.; Giardiello, Daniele
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Protocol for development of a reporting guideline (TRIPOD-Code) for code repositories associated with diagnostic and prognostic prediction model studies
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-02-10
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deletePollard, Tom; Sounack, Thomas; Gao, Catherine A.; Celi, Leo Anthony; Lindvall, Charlotta; Lee, Hyeonhoon; Lee, Hyung-Chul; Moons, Karel G. M.; Collins, Gary S.
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A comparison of methodological approaches to developing clinical prediction models for individuals living with multiple long-term conditions: a protocol for a systematic review
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-02-06
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deleteAnderson, Lauren A.; Ensor, Joie; Gillies, Clare L.; Lock, Selina T.; Khunti, Kamlesh; Gray, Laura J.
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Machine learning-based COVID-19 prognostic models lag behind in reporting quality: findings from a TRIPOD/TRIPOD plus AI systematic review
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-02-03
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deletePartheniadis, Ioannis; Talimtzi, Persefoni; Nikolakopoulou, Adriani; Haidich, Anna-Bettina
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Performance of the Leicester risk assessment and Leicester practice risk scores for assessing the risk of undiagnosed type 2 diabetes or prediabetes in diverse populations: protocol for a systematic review of published validations and updates
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-01-15
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deleteHaddon, Louise; Ensor, Joie; Khunti, Kamlesh; Gray, Laura J.
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Prediction models developed using artificial intelligence: similar predictive performances with highly varying predictions for individuals - an illustration in deep vein thrombosis
deleteDiagnostic and Prognostic Research
IF2.6
delete2026-01-08
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deleteYusufujiang, Maerziya; Navarro, Constanza L. Andaur; Damen, Johanna A. A.; Takada, Toshihiko; Geersing, Geert-Jan; Hooft, Lotty; Schuit, Ewoud; Moons, Karel Gm; de Jong, Valentijn M. T.; van Smeden, Maarten
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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 2: time-to-event outcomes
deleteDiagnostic and Prognostic Research
IF2.6
delete2025-12-16
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deleteRiley, Richard D.; Collins, Gary S.; Archer, Lucinda; Whittle, Rebecca; Legha, Amardeep; Kirton, Laura; Dhiman, Paula; Sadatsafavi, Mohsen; Adderley, Nicola J.; Alderman, Joseph; Martin, Glen P.; Ensor, Joie
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Risk of bias in machine learning and statistical models to predict height or weight: a systematic review in fetal and paediatric medicine
deleteDiagnostic and Prognostic Research
IF2.6
delete2025-12-15
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deleteLawrence, Neil R.; Bacila, Irina; Tonge, Joseph; Tucker, Anthea; Dawson, Jeremy; Lang, Zi-Qiang; Krone, Nils P.; Dhiman, Paula; Collins, Gary S.
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Natriuretic peptides testing and survival prediction models for chronic heart failure: a systematic review of added prognostic value
deleteDiagnostic and Prognostic Research
IF2.6
delete2025-12-09
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deleteSmith, Charlotte A.; Taylor, Kathryn S.; Jones, Nicholas R.; Roth, Dominik; Magona, Amy; Roberts, Nia; Taylor, Clare J.; Hobbs, F. D. Richard; Vazquez-Montes, Maria D. L. A.
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The F score ranks diagnostic tests and prediction models inconsistently with their clinical utility
deleteDiagnostic and Prognostic Research
IF2.6
delete2025-12-08
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deleteAssel, Melissa; Vickers, Andrew
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Quantifying the versatility of routinely measured prognostic factors
deleteDiagnostic and Prognostic Research
IF2.6
delete2025-12-04
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deleteInnes, Hamish; Johnson, Philip J.
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