Angela M. Wood

Statistics and Probability · 2005–2021

A researcher in the Science corpus: 15 papers; trusts 12 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 60 citations into it; #3,079 of 12,932 by trust here, #946 by citations
• Artificial Intelligence — 23 citations into it
• Sociology and Political Science — 7 citations into it; #22,599 of 22,756 by trust here, #4,616 by citations
• Management Science and Operations Research — 5 citations into it

Whom Angela M. Wood trusts overall

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

1. Patrick Royston
2. S. van Buuren
3. Roderick J. A. Little
4. James R. Carpenter
5. Subir Ghosh
6. Ian R. White
7. Karel G. M. Moons
8. Donald B. Rubin
9. Douglas G. Altman
10. Ofer Harel

Who trusts Angela M. Wood overall

1. Ian R. White
2. S. van Buuren
3. Patrick Royston
4. T. Macías
5. Karel G. M. Moons
6. Anil S. Jadhav
7. Yiran Dong
8. James E. Johndrow
9. Juan Miguel Lopez Alcaraz
10. S. Seaman

Papers from Angela M. Wood's perspective

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

1. Analysis of Incomplete Multivariate Data (Technometrics)
2. Inference for imputation estimators
3. SPECIAL SERIES: ORIGINAL ARTICLES Using the outcome for imputation of missing predictor values was preferred
4. Multilevel models with multivariate mixed response types
5. Regression with Missing X's: A Review
6. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls (British medical journal)
7. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study (British medical journal)
8. A multivariate technique for multiply imputing missing values using a sequence of regression models
9. How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory (Prevention Science)
10. Multiple Imputation in Practice

Their papers

• Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls (2009) — 6,901 citations
• Multiple imputation using chained equations: Issues and guidance for practice (2011) — 8,899 citations
• How should variable selection be performed with multiply imputed data? (2008) — 454 citations
• Association of Cardiometabolic Multimorbidity With Mortality. (2015) — 954 citations
• SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. (2021) — 1,383 citations
• How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 (2020) — 188 citations
• Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults Implications for Primary Prevention (2019)
• World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions (2019) — 908 citations
• Genomic atlas of the human plasma proteome (2018) — 1,884 citations
• Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies (2018) — 1,035 citations
• Correcting for Optimistic Prediction in Small Data Sets (2014) — 341 citations
• C-Reactive Protein, Fibrinogen, and Cardiovascular Disease Prediction (2012) — 1,067 citations
• Major Lipids, Apolipoproteins, and Risk of Vascular Disease (2009) — 1,877 citations
• Long-Term Interleukin-6 Levels and Subsequent Risk of Coronary Heart Disease: Two New Prospective Studies and a Systematic Review (2008) — 710 citations
• Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis. (2005) — 1,312 citations