Stephen Burgess
Genetics · 2011–2019
A researcher in the Science corpus: 22 papers; trusts 64 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 255 citations into it; #72 of 6,854 by trust here, #231 by citations
- Statistics and Probability — 131 citations into it; #2,904 of 12,932 by trust here, #2,309 by citations
- Rheumatology — 56 citations into it
- Economics and Econometrics — 45 citations into it
- Endocrinology, Diabetes and Metabolism — 32 citations into it
- Epidemiology — 30 citations into it; #188 of 2,148 by trust here, #592 by citations
- Surgery — 30 citations into it
- Cardiology and Cardiovascular Medicine — 28 citations into it
Whom Stephen Burgess trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Davey Smith
- Vanessa Didelez
- J. Bowden
- Christopher F. Baum
- R. D. Blander
- Joshua D. Angrist
- Nuala Sheehan
- Brandon L. Pierce
- S. Thompson
- Shah Ebrahim
Who trusts Stephen Burgess overall
- J. Bowden
- George Davey Smith
- E. Sanderson
- Gibran Hemani
- O. Yavors’ka
- S. Thompson
- F. Del Greco M
- Qingyuan Zhao
- F. Hartwig
- N. Davies
Papers from Stephen Burgess's perspective
Ordered by how strongly the researchers Stephen Burgess trusts endorse each paper. Same corpus, a different order for every researcher.
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Mendelian randomization as an instrumental variable approach to causal inference (Statistical Methods in Medical Research)
- Instrumental Variables Regression with Weak Instruments
- Mendelian randomization: prospects, potentials, and limitations. (International Journal of Epidemiology)
- A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
- Instruments for Causal Inference: An Epidemiologist's Dream?
- Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak
- Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. (International Journal of Epidemiology)
- On Instrumental Variables Estimation of Causal Odds Ratios
- THE ESTIMATION OF ECONOMIC RELATIONSHIPS USING INSTRUMENTAL VARIABLES
Their papers
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (2013) — 1,223 citations
- Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants (2016) — 1,628 citations
- Bias due to participant overlap in two‐sample Mendelian randomization (2016) — 1,409 citations
- A review of instrumental variable estimators for Mendelian randomization (2015) — 1,545 citations
- PhenoScanner: a database of human genotype–phenotype associations (2016) — 1,277 citations
- Association of Cardiometabolic Multimorbidity With Mortality. (2015) — 954 citations
- PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations (2019) — 1,762 citations
- Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases (2019) — 633 citations
- A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits (2019) — 481 citations
- Guidelines for performing Mendelian randomization investigations (2019) — 2,022 citations
- Genomic atlas of the human plasma proteome (2018) — 1,884 citations
- The MR-Base platform supports systematic causal inference across the human phenome (2018) — 6,483 citations
- MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data (2017) — 1,738 citations
- Interpreting findings from Mendelian randomization using the MR-Egger method (2017) — 3,971 citations
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (2016) — 7,631 citations
- Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods (2015) — 1,022 citations
- Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors (2015) — 1,618 citations
- Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects (2015) — 1,438 citations
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015) — 8,504 citations
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (2013) — 5,226 citations