Nuala Sheehan
Genetics · 2005–2018
A researcher in the Science corpus: 11 papers; trusts 19 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 70 citations into it; #251 of 6,854 by trust here, #956 by citations
- Statistics and Probability — 41 citations into it; #1,760 of 12,932 by trust here, #1,728 by citations
- Rheumatology — 13 citations into it
- Pediatrics, Perinatology and Child Health — 12 citations into it
- Surgery — 11 citations into it
Whom Nuala Sheehan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Davey Smith
- Stephen Burgess
- J. Bowden
- S. Thompson
- Julian P. T. Higgins
- Vanessa Didelez
- Shah Ebrahim
- Deborah Lawlor
- Adam S. Butterworth
- Donald B. Rubin
Who trusts Nuala Sheehan overall
- Stephen Burgess
- J. Bowden
- S. Thompson
- George Davey Smith
- E. Sanderson
- F. Greco M
- Gibran Hemani
- Cosetta Minelli
- Nicholas Cornia
- F. Del Greco M
Papers from Nuala Sheehan's perspective
Ordered by how strongly the researchers Nuala Sheehan 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)
- Instruments for Causal Inference: An Epidemiologist's Dream?
- On Instrumental Variables Estimation of Causal Odds Ratios
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. (International Journal of Epidemiology)
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (International Journal of Epidemiology)
- A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
- Avoiding bias from weak instruments in Mendelian randomization studies. (International Journal of Epidemiology)
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (Human Molecular Genetics)
Their papers
- © Institute of Mathematical Statistics, 2010 Assumptions of IV Methods for — 231 citations
- Mendelian randomization as an instrumental variable approach to causal inference (2007) — 947 citations
- Using multiple genetic variants as instrumental variables for modifiable risk factors (2012) — 1,190 citations
- Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption (2018) — 879 citations
- Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018) — 561 citations
- Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018) — 441 citations
- A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization (2017) — 1,630 citations
- Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic (2016) — 1,508 citations
- Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome (2015) — 1,439 citations
- DataSHIELD: taking the analysis to the data, not the data to the analysis (2014) — 262 citations
- Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure (2005) — 699 citations