N. Davies
Genetics · 2016–2021
A researcher in the Science corpus: 9 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 133 citations into it; #4,307 of 6,854 by trust here, #2,594 by citations
- Statistics and Probability — 76 citations into it; #12,620 of 12,932 by trust here, #5,661 by citations
- Rheumatology — 28 citations into it
- Epidemiology — 19 citations into it
- Economics and Econometrics — 17 citations into it
- Pediatrics, Perinatology and Child Health — 11 citations into it
- Causal Inference & Discovery — 5 citations into it
Whom N. Davies trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen Burgess
- George Davey Smith
- J. Bowden
- James H. Stock
- Douglas O. Staiger
- S. Thompson
- Joshua D. Angrist
- Vanessa Didelez
- Deborah Lawlor
- Joseph K. Pickrell
Who trusts N. Davies overall
Papers from N. Davies's perspective
Ordered by how strongly the researchers N. Davies trusts endorse each paper. Same corpus, a different order for every researcher.
- Mendelian randomization as an instrumental variable approach to causal inference (Statistical Methods in Medical Research)
- Mendelian randomization: prospects, potentials, and limitations. (International Journal of Epidemiology)
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study (The Lancet)
- Avoiding bias from weak instruments in Mendelian randomization studies. (International Journal of Epidemiology)
- Detection and interpretation of shared genetic influences on 42 human traits (Nature Genetics)
- A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (American Journal of Epidemiology)
- Confounding and Collapsibility in Causal Inference
- Instrumental Variables Regression with Weak Instruments
Their papers
- Bias due to participant overlap in two‐sample Mendelian randomization (2016) — 1,409 citations
- Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration (2021) — 1,401 citations
- Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement. (2021) — 3,318 citations
- Collider bias undermines our understanding of COVID-19 disease risk and severity (2020) — 742 citations
- Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019) — 1,037 citations
- Guidelines for performing Mendelian randomization investigations (2019) — 2,022 citations
- Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians (2018) — 3,794 citations
- Subcortical brain volume differences of participants with ADHD across the lifespan: an ENIGMA collaboration (2017) — 1,342 citations
- Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique (2016) — 737 citations