T. Debray
Statistics and Probability · 2015–2024
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 151 citations into it
- Artificial Intelligence — 67 citations into it
- Economics and Econometrics — 63 citations into it
- Epidemiology — 45 citations into it
- Cardiology and Cardiovascular Medicine — 36 citations into it
- Public Health, Environmental and Occupational Health — 36 citations into it
- General Health Professions — 29 citations into it
- Health Informatics — 27 citations into it
Whom T. Debray trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karel G. M. Moons
- Douglas G. Altman
- Patrick Royston
- Jeffrey W. Lucas
- Georgia Salanti
- Ewout W. Steyerberg
- Y. Vergouwe
- Gary S. Collins
- Harvey Goldstein
- Theo Stijnen
Who trusts T. Debray overall
Papers from T. Debray's perspective
Ordered by how strongly the researchers T. Debray trusts endorse each paper. Same corpus, a different order for every researcher.
- Advanced methods in meta‐analysis: multivariate approach and meta‐regression (Statistics in Medicine)
- Assessing Evidence Inconsistency in Mixed Treatment Comparisons
- Checking consistency in mixed treatment comparison meta‐analysis (Statistics in Medicine)
- Bayesian measures of model complexity and fit
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Evaluation of networks of randomized trials (Statistical Methods in Medical Research)
- Updating methods improved the performance of a clinical prediction model in new patients. (Journal of Clinical Epidemiology)
- Network meta‐analysis for indirect treatment comparisons (Statistics in Medicine)
- Combination of direct and indirect evidence in mixed treatment comparisons (Statistics in Medicine)
- Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression (Research Synthesis Methods)
Their papers
- A new framework to enhance the interpretation of external validation studies of clinical prediction models. (2015) — 506 citations
- Get real in individual participant data (IPD) meta‐analysis: a review of the methodology (2015) — 307 citations
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges (2016) — 510 citations
- Developing clinical prediction models: a step-by-step guide (2024) — 337 citations
- Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review (2022) — 377 citations
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal (2020) — 2,435 citations
- A guide to systematic review and meta-analysis of prognostic factor studies (2019) — 656 citations
- GetReal in network meta‐analysis: a review of the methodology (2016) — 337 citations
- Prediction models for cardiovascular disease risk in the general population: systematic review (2016) — 842 citations