Simon G. Thompson

Research interests

Publications

• Mendelian Randomization

  Journal · 2021 · https://doi.org/10.1201/9780429324352

• Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects

  American Journal of Epidemiology · 2015 · https://doi.org/10.1093/aje/kwu283

• 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

  The Lancet · 2012 · https://doi.org/10.1016/s0140-6736(12)60441-3

• Use of Mendelian randomisation to assess potential benefit of clinical intervention

  BMJ · 2012 · https://doi.org/10.1136/bmj.e7325

• Avoiding bias from weak instruments in Mendelian randomization studies

  International Journal of Epidemiology · 2011 · https://doi.org/10.1093/ije/dyr036

• Review of statistical methods for analysing healthcare resources and costs

  Health Economics · 2010 · https://doi.org/10.1002/hec.1653

• Methodological Challenges in Online Trials

  Journal of Medical Internet Research · 2009 · https://doi.org/10.2196/jmir.1052

• Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses

  Statistics in Medicine · 2009 · https://doi.org/10.1002/sim.3602

• Flexible parametric models for random‐effects distributions

  Statistics in Medicine · 2007 · https://doi.org/10.1002/sim.2897

• Meta-analysis of Studies of Alcohol and Breast Cancer with Consideration of the Methodological Issues

  Cancer Causes & Control · 2006 · https://doi.org/10.1007/s10552-006-0011-0

• Can meta-analysis help target interventions at individuals most likely to benefit?

  The Lancet · 2005 · https://doi.org/10.1016/s0140-6736(05)17790-3

• Clustering by health professional in individually randomised trials

  BMJ · 2005 · https://doi.org/10.1136/bmj.330.7483.142

• Methods for incorporating covariate adjustment, subgroup analysis and between‐centre differences into cost‐effectiveness evaluations

  Health Economics · 2005 · https://doi.org/10.1002/hec.1008

• Meta-analysis of individual patient data from randomized trials: a review of methods used in practice

  Clinical Trials · 2005 · https://doi.org/10.1191/1740774505cn087oa

• Controlling the risk of spurious findings from meta‐regression

  Statistics in Medicine · 2004 · https://doi.org/10.1002/sim.1752

• Adjusting for partially missing baseline measurements in randomized trials

  Statistics in Medicine · 2004 · https://doi.org/10.1002/sim.1981

• How should meta‐regression analyses be undertaken and interpreted?

  Statistics in Medicine · 2002 · https://doi.org/10.1002/sim.1187

• Quantifying heterogeneity in a meta‐analysis

  Statistics in Medicine · 2002 · https://doi.org/10.1002/sim.1186

• Bayesian random effects meta‐analysis of trials with binary outcomes: methods for the absolute risk difference and relative risk scales

  Statistics in Medicine · 2002 · https://doi.org/10.1002/sim.1189

• Meta‐analysis of continuous outcome data from individual patients

  Statistics in Medicine · 2001 · https://doi.org/10.1002/sim.918

• Bayesian methods of analysis for cluster randomized trials with binary outcome data

  Statistics in Medicine · 2001 · https://doi.org/10.1002/1097-0258(20010215)20:3<453::aid-sim803>3.0.co;2-l

• A multilevel model framework for meta-analysis of clinical trials with binary outcomes

  Statistics in Medicine · 2000 · https://doi.org/10.1002/1097-0258(20001230)19:24<3417::aid-sim614>3.0.co;2-l

• Analysis of cost data in randomized trials: an application of the non-parametric bootstrap

  Statistics in Medicine · 2000 · https://doi.org/10.1002/1097-0258(20001215)19:23<3219::aid-sim623>3.0.co;2-p

• How should cost data in pragmatic randomised trials be analysed?

  BMJ · 2000 · https://doi.org/10.1136/bmj.320.7243.1197

• Intensive versus standard case management for severe psychotic illness: a randomised trial

  The Lancet · 1999 · https://doi.org/10.1016/s0140-6736(98)12191-8

Current projects

No projects listed.