Joris A. H. de Groot

Statistics and Probability · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 70 citations into it; #7,726 of 12,932 by trust here, #2,531 by citations
• Economics and Econometrics — 25 citations into it
• Cardiology and Cardiovascular Medicine — 15 citations into it
• Epidemiology — 15 citations into it; #1,608 of 2,148 by trust here, #1,225 by citations
• General Health Professions — 15 citations into it
• Artificial Intelligence — 11 citations into it

Whom Joris A. H. de Groot trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Douglas G. Altman
2. Patrick Royston
3. Karel G. M. Moons
4. Ewout W. Steyerberg
5. J. Hayden
6. Nancy R. Cook
7. Esteban Walker
8. Andrew J. Vickers
9. Y. Vergouwe
10. Ian R. White

Who trusts Joris A. H. de Groot overall

1. Gary S. Collins
2. Johannes B Reitsma
3. Karel G. M. Moons
4. Ewout W. Steyerberg
5. Douglas G. Altman

Papers from Joris A. H. de Groot's perspective

Ordered by how strongly the researchers Joris A. H. de Groot trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Modeling Strategies (Technometrics)
2. Updating methods improved the performance of a clinical prediction model in new patients. (Journal of Clinical Epidemiology)
3. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
4. Multiple imputation using chained equations: Issues and guidance for practice (Statistics in Medicine)
5. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers (Statistics in Medicine)
6. Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies (British medical journal)
7. Dichotomizing continuous predictors in multiple regression: a bad idea (Statistics in Medicine)
8. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond (Statistics in Medicine)
9. Evaluation of the Quality of Prognosis Studies in Systematic Reviews (Annals of Internal Medicine)
10. Risk prediction models: II. External validation, model updating, and impact assessment (Heart)

Their papers

• External validation of multivariable prediction models: a systematic review of methodological conduct and reporting (2014) — 646 citations
• Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014) — 1,708 citations
• Sample size for binary logistic prediction models: Beyond events per variable criteria (2018) — 679 citations