P. Whiting

Statistics and Probability · British medical journal · 2000–2021

A researcher in the Science corpus: 16 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 253 citations into it; #6,457 of 12,932 by trust here, #439 by citations
• General Health Professions — 101 citations into it
• Surgery — 21 citations into it
• Critical Care and Intensive Care Medicine — 6 citations into it

Whom P. Whiting trusts overall

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

1. Johannes B Reitsma
2. J. Deeks
3. R. Harbord
4. Patrick M. M. Bossuyt
5. Carolyn M. Rutter

Who trusts P. Whiting overall

1. Johannes B Reitsma
2. A. Rutjes
3. Dan Jackson
4. R. Riley
5. Mariska M. G. Leeflang
6. E. Tsochatzis
7. S. Gilbody
8. Ian R. White
9. Evelina Tacconelli
10. J. Deeks

Papers from P. Whiting's perspective

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

1. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data (Statistics in Medicine)
2. Conducting systematic reviews of diagnostic studies: didactic guidelines (BMC Medical Research Methodology)
3. Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests. (British medical journal)
4. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research (PLoS Medicine)
5. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative (British medical journal)
6. Prediction of Postoperative Pulmonary Complications in a Population-based Surgical Cohort (Anesthesiology)
7. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. (Journal of Clinical Epidemiology)
8. Systematic Review and Meta-analysis Supplements for Primary and Secondary Prevention: Mortality in Randomized Trials of Antioxidant
9. Assessing Bias in Studies of Prognostic Factors (Annals of Internal Medicine)
10. Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease (Epidemiology)

Their papers

• ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016) — 17,786 citations
• Sources of Variation and Bias in Studies of Diagnostic Accuracy (2004) — 836 citations
• PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2020) — 10,812 citations
• Metandi: Meta-analysis of Diagnostic Accuracy Using Hierarchical Logistic Regression (2009) — 459 citations
• A unification of models for meta-analysis of diagnostic accuracy studies. (2007) — 703 citations
• RoB 2: a revised tool for assessing risk of bias in randomised trials (2019) — 28,662 citations
• PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2019) — 2,019 citations
• PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration (2019) — 1,227 citations
• The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2020) — 94,440 citations
• The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. (2021) — 3,176 citations
• The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021) — 25,061 citations
• Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist (2020) — 638 citations
• Interpreting a covid-19 test result (2020) — 652 citations
• Protection by BCG vaccine against tuberculosis: a systematic review of randomized controlled trials. (2014) — 893 citations
• Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies (2006) — 726 citations
• Systematic review of water fluoridation (2000) — 634 citations