J. Hayden

Statistics and Probability · 2005–2019

A researcher in the Science corpus: 12 papers; trusts 11 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 71 citations into it; #4,301 of 12,932 by trust here, #1,301 by citations
• Economics and Econometrics — 26 citations into it
• Public Health, Environmental and Occupational Health — 25 citations into it
• Pharmacology — 24 citations into it; #981 of 1,112 by trust here, #263 by citations
• General Health Professions — 19 citations into it; #3,173 of 4,781 by trust here, #1,270 by citations
• Surgery — 17 citations into it; #561 of 1,106 by trust here, #525 by citations
• Pathology and Forensic Medicine — 15 citations into it; #371 of 414 by trust here, #177 by citations
• Oncology — 10 citations into it

Whom J. Hayden trusts overall

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

1. Douglas G. Altman
2. M. V. van Tulder
3. Julian P. T. Higgins
4. for the Statistics Subcommittee of the NCI—EORTC Worki Diagnostics
5. Andrea Furlan
6. C. Bombardier
7. S. Thompson
8. Patrick Royston
9. S. Hernández-Díaz
10. R. Riley

Who trusts J. Hayden overall

1. Karel G. M. Moons
2. E. Coomes
3. A. Llewellyn
4. M. Simmonds
5. Gary S. Collins
6. H. Haghbayan
7. R. Riley
8. R. Chou
9. Christopher G. Owen
10. Joris A. H. de Groot

Papers from J. Hayden's perspective

Ordered by how strongly the researchers J. Hayden trusts endorse each paper. Same corpus, a different order for every researcher.

1. Grading quality of evidence and strength of recommendations (British medical journal)
2. Updating methods improved the performance of a clinical prediction model in new patients. (Journal of Clinical Epidemiology)
3. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. (American Journal of Epidemiology)
4. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers (Statistics in Medicine)
5. Dichotomizing continuous predictors in multiple regression: a bad idea (Statistics in Medicine)
6. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients (British medical journal)
7. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.
8. Evaluation of the Quality of Prognosis Studies in Systematic Reviews (Annals of Internal Medicine)
9. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research (PLoS Medicine)
10. Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes (British medical journal)

Their papers

• Evaluation of the Quality of Prognosis Studies in Systematic Reviews (2006) — 1,491 citations
• Assessing Bias in Studies of Prognostic Factors (2013) — 2,869 citations
• Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research (2013) — 748 citations
• Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes (2013) — 596 citations
• A guide to systematic review and meta-analysis of prognostic factor studies (2019) — 656 citations
• Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients (2015) — 754 citations
• Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013) — 1,371 citations
• Acute cannabis consumption and motor vehicle collision risk: systematic review of observational studies and meta-analysis (2012) — 730 citations
• Meta-Analysis: Exercise Therapy for Nonspecific Low Back Pain (2005) — 606 citations
• Systematic Review: Strategies for Using Exercise Therapy To Improve Outcomes in Chronic Low Back Pain (2005) — 886 citations
• Exercise therapy for treatment of non-specific low back pain. (2005) — 954 citations
• A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. (2005) — 1,351 citations