E. Sanderson
Genetics · bioRxiv · 2018–2022
A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 104 citations into it; #2,270 of 6,854 by trust here, #4,626 by citations
- Statistics and Probability — 56 citations into it
- Economics and Econometrics — 16 citations into it
- Epidemiology — 14 citations into it; #604 of 2,148 by trust here, #2,054 by citations
- Rheumatology — 12 citations into it
- Pediatrics, Perinatology and Child Health — 8 citations into it
- Causal Inference & Discovery — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom E. Sanderson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Davey Smith
- Stephen Burgess
- Tyler J. VanderWeele
- J. Bowden
- David P. MacKinnon
- S. Thompson
- Stijn Vansteelandt
- James M. Robins
- Gibran Hemani
- Guido W. Imbens
Who trusts E. Sanderson overall
Papers from E. Sanderson's perspective
Ordered by how strongly the researchers E. Sanderson 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)
- Confounding and Collapsibility in Causal Inference
- On Instrumental Variables Estimation of Causal Odds Ratios
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (International Journal of Epidemiology)
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (Human Molecular Genetics)
- Mendelian randomization: prospects, potentials, and limitations. (International Journal of Epidemiology)
- Avoiding bias from weak instruments in Mendelian randomization studies. (International Journal of Epidemiology)
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (Genetic Epidemiology)
- Identification of Causal effects Using Instrumental Variables
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
Their papers
- An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings (2018) — 972 citations
- Mendelian randomization (2022) — 1,280 citations
- Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis (2020) — 681 citations
- Multivariable Mendelian Randomization and Mediation. (2020) — 712 citations
- Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019) — 1,037 citations