Thompson, Simon G.
University of Cambridge
40 papers on CoChatORCID 0000-0002-5274-7814
Most cited papers
- Verified
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ
Meta-analysis and systematic reviewsDelphi Technique in Research
Cited by 63,139
- Verified
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 36,763
- Verified
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 6,050
- Verified
Interpreting findings from Mendelian randomization using the MR-Egger method.
Burgess, S., & Thompson, S. G. (2017) · European Journal of Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 4,571
- Verified
Avoiding bias from weak instruments in Mendelian randomization studies
Burgess, S., Thompson, S. G., & CRP CHD Genetics Collaboration (2011) · International Journal of Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 3,952
- Verified
How should meta‐regression analyses be undertaken and interpreted?
Thompson, S. G., & Higgins, J. P. T. (2002) · Statistics in Medicine
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 3,026
- Verified
Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents
Di Angelantonio, E., Bhupathiraju, S. N., Wormser, D., Gao, P., Kaptoge, S., de Gonzalez, A. B., Cairns, B. J., Huxley, R., Jackson, C. L., Joshy, G., et al. (2016) · The Lancet
Obesity, Physical Activity, DietCancer Risks and Factors
Cited by 2,821
- Verified
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society
Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference
Cited by 2,569
- Verified
Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants
Burgess, S., Bowden, J., Fall, T., Ingelsson, E., & Thompson, S. G. (2017) · Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 2,017
- Verified
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
EPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 1,803
- Verified
Bias due to participant overlap in two‐sample Mendelian randomization
Burgess, S., Davies, N. M., & Thompson, S. G. (2016) · Genetic Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 1,624
- Verified
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.
Burgess, S., & Thompson, S. G. (2015) · American Journal of Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 1,605
- Verified
Controlling the risk of spurious findings from meta-regression
Higgins, J. P. T., & Thompson, S. G. (2004) · Statistics in Medicine
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 1,267
- Verified
Association of cardiometabolic multimorbidity with mortality
Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, A. S., Bansal, N., O’Keeffe, L. M., Gao, P., Wood, A. M., Burgess, S., et al. (2015) · JAMA
Chronic Disease Management StrategiesDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 1,155
- Verified
Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods
Burgess, S., Dudbridge, F., & Thompson, S. G. (2016) · Statistics in Medicine
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 1,153
- Verified · note
Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis
Chowdhury, R., Warnakula, S., Kunutsor, S., Crowe, F., Ward, H. A., Johnson, L., Franco, O. H., Butterworth, A. S., Forouhi, N. G., Thompson, S. G., et al. (2014) · Annals of Internal Medicine
Fatty Acid Research and HealthNutritional Studies and Diet
Cited by 1,139
- Verified
Systematic Review: Why sources of heterogeneity in meta-analysis should be investigated
Thompson, S. G. (1994) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 1,017
- Verified
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
Turner, R. M., Davey, J., Clarke, M. J., Thompson, S. G., & Higgins, J. P. (2012) · International Journal of Epidemiology
Meta-analysis and systematic reviewsDelphi Technique in Research
Cited by 837
- Verified
How should cost data in pragmatic randomised trials be analysed?
Thompson, S. G. (2000) · BMJ
Health Systems, Economic Evaluations, Quality of LifeStatistical Methods in Clinical Trials
Cited by 772
- Verified
Review of statistical methods for analysing healthcare resources and costs
Mihaylova, B., Briggs, A., O'Hagan, A., & Thompson, S. G. (2011) · Health Economics
Health Systems, Economic Evaluations, Quality of LifeStatistical Methods and Bayesian Inference
Cited by 767
- Verified
Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): a meta-analysis of individual participant data
Lorenz, M. W., Polak, J. F., Kavousi, M., Mathiesen, E. B., Völzke, H., Tuomainen, T.-P., Sander, D., Plichart, M., Catapano, A. L., Robertson, C. M., et al. (2012) · The Lancet
Cardiovascular Health and Disease PreventionCerebrovascular and Carotid Artery Diseases
Cited by 598
- Verified
Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways.
Burgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology
Advanced Causal Inference TechniquesGenetic Associations and Epidemiology
Cited by 543
- Verified
Use of allele scores as instrumental variables for Mendelian randomization
Burgess, S., & Thompson, S. G. (2013) · International Journal of Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 452
- Verified
Bias in causal estimates from Mendelian randomization studies with weak instruments
Burgess, S., & Thompson, S. G. (2011) · Statistics in Medicine
Advanced Causal Inference TechniquesGenetic Associations and Epidemiology
Cited by 421
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