J. Bowden
Genetics · International Journal of Epidemiology · 2010–2019
A researcher in the Science corpus: 23 papers; trusts 67 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 245 citations into it; #153 of 6,854 by trust here, #421 by citations
- Statistics and Probability — 159 citations into it; #2,557 of 12,932 by trust here, #1,100 by citations
- Molecular Biology — 62 citations into it
- Rheumatology — 46 citations into it; #100 of 221 by trust here, #129 by citations
- Surgery — 33 citations into it
- Economics and Econometrics — 27 citations into it; #17,989 of 23,481 by trust here, #14,996 by citations
- Pediatrics, Perinatology and Child Health — 21 citations into it
- Artificial Intelligence — 18 citations into it
Whom J. Bowden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen Burgess
- George Davey Smith
- S. Thompson
- Gibran Hemani
- Deborah Lawlor
- Dylan S. Small
- F. Greco M
- James M. Robins
- Cosetta Minelli
- Nuala Sheehan
Who trusts J. Bowden overall
- Gibran Hemani
- Stephen Burgess
- George Davey Smith
- E. Sanderson
- Qingyuan Zhao
- F. Hartwig
- O. Yavors’ka
- F. Del Greco M
- Deborah Lawlor
- Michael Holmes
Papers from J. Bowden's perspective
Ordered by how strongly the researchers J. Bowden 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)
- 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)
- Instruments for Causal Inference: An Epidemiologist's Dream?
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (Genetic Epidemiology)
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (Human Molecular Genetics)
- Confounding and Collapsibility in Causal Inference
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (American Journal of Epidemiology)
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
Their papers
- How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts? (2010) — 223 citations
- Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges (2015) — 377 citations
- On Instrumental Variables Estimation of Causal Odds Ratios (2011) — 125 citations
- Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption (2018) — 879 citations
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018) — 795 citations
- Recent Developments in Mendelian Randomization Studies (2017) — 945 citations
- Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption (2017) — 2,987 citations
- An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings (2018) — 972 citations
- Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants (2016) — 1,628 citations
- A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018) — 871 citations
- Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples (2017) — 55 citations
- The confidence interval method for selecting valid instrumental variables (2019) — 48 citations
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms (2019) — 601 citations
- Meta‐analysis and Mendelian randomization: A review (2019) — 1,394 citations
- Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018) — 1,292 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
- The MR-Base platform supports systematic causal inference across the human phenome (2018) — 6,483 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