Julia Hippisley-Cox

Statistics and Probability · 2007–2017

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Julia Hippisley-Cox trusts overall

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

1. Patrick Royston
2. Joseph L. Schafer
3. Karel G. M. Moons
4. Ralph B. D’Agostino
5. J. Graham
6. Theo Stijnen

Who trusts Julia Hippisley-Cox overall

1. J. Robson
2. R. Riley
3. Gary S. Collins
4. M. Pavlou
5. T. Ivanova
6. Karel G. M. Moons
7. J. Sterne
8. J. Ensor
9. Douglas G. Altman
10. Kym I. E. Snell

Papers from Julia Hippisley-Cox's perspective

Ordered by how strongly the researchers Julia Hippisley-Cox trusts endorse each paper. Same corpus, a different order for every researcher.

1. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study (British medical journal)
2. Explaining trends in inequities: evidence from Brazilian child health studies. (The Lancet)
3. General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
4. Validation and validity of diagnoses in the General Practice Research Database: a systematic review (British Journal of Clinical Pharmacology)
5. Tutorial in biostatistics: the self‐controlled case series method (Statistics in Medicine)
6. Validity of diagnostic coding within the General Practice Research Database: a systematic review. (The British journal of general practice : the journal of the Royal College of General Practitioners)
7. Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies. (European Heart Journal)
8. Analysis of Incomplete Multivariate Data (Technometrics)
9. INFERENCE AND MISSING DATA
10. Value of assessment of pretest probability of deep-vein thrombosis in clinical management.

Their papers

• Antidepressant use and risk of adverse outcomes in older people: population based cohort study (2011) — 798 citations
• Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study (2017) — 1,506 citations
• Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (2008) — 1,449 citations
• Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study (2007) — 1,050 citations