Published in Stat Med on March 22, 2011
Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators. Am J Epidemiol (2013) 2.38
Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol (2013) 2.34
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. Am J Epidemiol (2015) 2.14
Use of allele scores as instrumental variables for Mendelian randomization. Int J Epidemiol (2013) 2.06
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol (2014) 1.07
Physicians' prescribing preferences were a potential instrument for patients' actual prescriptions of antidepressants. J Clin Epidemiol (2013) 1.02
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study. JAMA Oncol (2017) 1.00
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies. Am J Clin Nutr (2016) 0.98
The many weak instruments problem and Mendelian randomization. Stat Med (2014) 0.97
Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. Int J Epidemiol (2014) 0.96
Serum uric acid and adiposity: deciphering causality using a bidirectional Mendelian randomization approach. PLoS One (2012) 0.94
Arsenic metabolism efficiency has a causal role in arsenic toxicity: Mendelian randomization and gene-environment interaction. Int J Epidemiol (2013) 0.93
Bias due to participant overlap in two-sample Mendelian randomization. Genet Epidemiol (2016) 0.89
Lack of identification in semiparametric instrumental variable models with binary outcomes. Am J Epidemiol (2014) 0.88
The causal effect of red blood cell folate on genome-wide methylation in cord blood: a Mendelian randomization approach. BMC Bioinformatics (2013) 0.84
The Role of Dietary Inflammatory Index in Cardiovascular Disease, Metabolic Syndrome and Mortality. Int J Mol Sci (2016) 0.78
Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization. Genet Epidemiol (2017) 0.75
Nature as a trialist? Deconstructing the analogy between Mendelian Randomization and randomized trials. Epidemiology (2017) 0.75
Measuring inconsistency in meta-analyses. BMJ (2003) 128.20
Quantifying heterogeneity in a meta-analysis. Stat Med (2002) 83.16
Association of dietary, circulating, and supplement fatty acids with coronary risk: a systematic review and meta-analysis. Ann Intern Med (2014) 12.79
C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet (2009) 11.81
Major lipids, apolipoproteins, and risk of vascular disease. JAMA (2009) 10.58
Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet (2011) 9.07
Endovascular versus open repair of abdominal aortic aneurysm. N Engl J Med (2010) 7.83
Controlling the risk of spurious findings from meta-regression. Stat Med (2004) 6.80
C-reactive protein, fibrinogen, and cardiovascular disease prediction. N Engl J Med (2012) 6.39
A re-evaluation of random-effects meta-analysis. J R Stat Soc Ser A Stat Soc (2009) 5.81
Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA (2009) 5.63
Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis. JAMA (2005) 5.60
Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin Trials (2004) 5.26
Lipoprotein-associated phospholipase A(2) and risk of coronary disease, stroke, and mortality: collaborative analysis of 32 prospective studies. Lancet (2010) 4.46
Lipid-related markers and cardiovascular disease prediction. JAMA (2012) 3.91
Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure (SENIORS). Eur Heart J (2005) 3.89
Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data. BMJ (2011) 3.65
A sustained mortality benefit from screening for abdominal aortic aneurysm. Ann Intern Med (2007) 3.27
Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. Clin Trials (2005) 3.19
Abdominal aortic aneurysm expansion: risk factors and time intervals for surveillance. Circulation (2004) 3.07
Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses. Stat Med (2010) 3.07
Endovascular or open repair strategy for ruptured abdominal aortic aneurysm: 30 day outcomes from IMPROVE randomised trial. BMJ (2014) 2.98
Bias modelling in evidence synthesis. J R Stat Soc Ser A Stat Soc (2009) 2.74
Adjusting for partially missing baseline measurements in randomized trials. Stat Med (2005) 2.70
Methodological challenges in online trials. J Med Internet Res (2009) 2.64
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. Int J Epidemiol (2012) 2.58
Poorer self assessed health in a prospective study of men with screen detected abdominal aortic aneurysm: a predictor or a consequence of screening outcome? J Epidemiol Community Health (2004) 2.42
Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol (2013) 2.34
Review of statistical methods for analysing healthcare resources and costs. Health Econ (2010) 2.27
Regression dilution methods for meta-analysis: assessing long-term variability in plasma fibrinogen among 27,247 adults in 15 prospective studies. Int J Epidemiol (2006) 2.22
Meta-analysis of studies of alcohol and breast cancer with consideration of the methodological issues. Cancer Causes Control (2006) 2.17
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. Am J Epidemiol (2015) 2.14
Use of allele scores as instrumental variables for Mendelian randomization. Int J Epidemiol (2013) 2.06
Endovascular repair of aortic aneurysm in patients physically ineligible for open repair. N Engl J Med (2010) 1.92
Clustering by health professional in individually randomised trials. BMJ (2005) 1.85
Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol (2011) 1.75
Use of Mendelian randomisation to assess potential benefit of clinical intervention. BMJ (2012) 1.70
Impact and costs of incentives to reduce attrition in online trials: two randomized controlled trials. J Med Internet Res (2011) 1.66
Flexible parametric models for random-effects distributions. Stat Med (2008) 1.61
On-line randomized controlled trial of an internet based psychologically enhanced intervention for people with hazardous alcohol consumption. PLoS One (2011) 1.61
Instrumental variable analysis with a nonlinear exposure-outcome relationship. Epidemiology (2014) 1.58
The DYD-RCT protocol: an on-line randomised controlled trial of an interactive computer-based intervention compared with a standard information website to reduce alcohol consumption among hazardous drinkers. BMC Public Health (2007) 1.56
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol (2015) 1.51
The use of random effects models to allow for clustering in individually randomized trials. Clin Trials (2005) 1.50
Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes. Stat Med (2012) 1.27
Methods for incorporating covariate adjustment, subgroup analysis and between-centre differences into cost-effectiveness evaluations. Health Econ (2005) 1.25
Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture. Biom J (2011) 1.19
Uncertainty and validation of health economic decision models. Health Econ (2010) 1.17
Allowing for missing outcome data and incomplete uptake of randomised interventions, with application to an Internet-based alcohol trial. Stat Med (2011) 1.16
Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data. Stat Med (2013) 1.16
Objectively measured physical activity and fat mass in children: a bias-adjusted meta-analysis of prospective studies. PLoS One (2011) 1.11
Developing appropriate methods for cost-effectiveness analysis of cluster randomized trials. Med Decis Making (2011) 1.10
A framework for addressing structural uncertainty in decision models. Med Decis Making (2011) 1.09
A framework for quantifying net benefits of alternative prognostic models. Stat Med (2011) 1.08
Use of angiotensin converting enzyme inhibitors is associated with increased growth rate of abdominal aortic aneurysms. J Vasc Surg (2010) 1.07
Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials. Stat Med (2004) 1.04
Wei, Lin and Weissfeld's marginal analysis of multivariate failure time data: should it be applied to a recurrent events outcome? Stat Methods Med Res (2007) 1.03
Optimal multistage designs for randomised clinical trials with continuous outcomes. Stat Med (2011) 1.03
Accounting for uncertainty in health economic decision models by using model averaging. J R Stat Soc Ser A Stat Soc (2009) 1.02
The rupture rate of large abdominal aortic aneurysms: is this modified by anatomical suitability for endovascular repair? Ann Surg (2008) 1.02
Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trials. Clin Trials (2005) 1.01
Turning the pump handle: evolving methods for integrating the evidence on gene-disease association. Am J Epidemiol (2007) 1.01
Surveillance intervals for small abdominal aortic aneurysms: a meta-analysis. JAMA (2013) 1.01
Impact of length or relevance of questionnaires on attrition in online trials: randomized controlled trial. J Med Internet Res (2011) 1.01
Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis. Stat Med (2014) 0.98
Choice of test for comparing two groups, with particular application to skewed outcomes. Stat Med (2003) 0.98
Modelling multiple sources of dissemination bias in meta-analysis. Stat Med (2010) 0.97
Using multilevel models for assessing the variability of multinational resource use and cost data. Health Econ (2005) 0.95
Derivation and assessment of risk prediction models using case-cohort data. BMC Med Res Methodol (2013) 0.95
Assessing risk prediction models using individual participant data from multiple studies. Am J Epidemiol (2013) 0.95
Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease. Int J Epidemiol (2013) 0.94
Methods for covariate adjustment in cost-effectiveness analysis that use cluster randomised trials. Health Econ (2012) 0.94
Missing data methods in Mendelian randomization studies with multiple instruments. Am J Epidemiol (2011) 0.93
Survival models in health economic evaluations: balancing fit and parsimony to improve prediction. Int J Biostat (2010) 0.93
Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables. Stat Med (2010) 0.93
Admissible two-stage designs for phase II cancer clinical trials that incorporate the expected sample size under the alternative hypothesis. Pharm Stat (2012) 0.91
Dietary energy density and adiposity: employing bias adjustments in a meta-analysis of prospective studies. BMC Public Health (2011) 0.91
Individual progression of carotid intima media thickness as a surrogate for vascular risk (PROG-IMT): Rationale and design of a meta-analysis project. Am Heart J (2010) 0.90
A modelling strategy for the analysis of clinical trials with partly missing longitudinal data. Int J Methods Psychiatr Res (2003) 0.90
Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants. Epidemiology (2017) 0.88
Renal function and abdominal aortic aneurysm (AAA): the impact of different management strategies on long-term renal function in the UK EndoVascular Aneurysm Repair (EVAR) Trials. Ann Surg (2010) 0.88
The importance of varying the event generation process in simulation studies of statistical methods for recurrent events. Stat Med (2006) 0.87
Constructing intervals for the intracluster correlation coefficient using Bayesian modelling, and application in cluster randomized trials. Stat Med (2006) 0.86
Bayesian hierarchical models for cost-effectiveness analyses that use data from cluster randomized trials. Med Decis Making (2009) 0.85
Structural and parameter uncertainty in Bayesian cost-effectiveness models. J R Stat Soc Ser C Appl Stat (2010) 0.84
Multilevel models for estimating incremental net benefits in multinational studies. Health Econ (2007) 0.82
Fit patients with small abdominal aortic aneurysms (AAAs) do not benefit from early intervention. J Vasc Surg (2008) 0.81
Improving costing methods in multicentre economic evaluation: the use of multiple imputation for unit costs. Health Econ (2010) 0.80
Routine antenatal anti-D prophylaxis in women who are Rh(D) negative: meta-analyses adjusted for differences in study design and quality. PLoS One (2012) 0.79
Intensive case management for severe psychotic illness: is there a general benefit for patients with complex needs? A secondary analysis of the UK700 trial data. Soc Psychiatry Psychiatr Epidemiol (2005) 0.78
C-reactive protein, fibrinogen, and cardiovascular risk. N Engl J Med (2013) 0.76
Prospective study of insulin-like growth factor-I, insulin-like growth factor-binding protein 3, genetic variants in the IGF1 and IGFBP3 genes and risk of coronary artery disease. Int J Mol Epidemiol Genet (2011) 0.75
Modelling bias in combining small area prevalence estimates from multiple surveys. J R Stat Soc Ser A Stat Soc (2011) 0.75
REPEATED MEASUREMENTS OF BLOOD PRESSURE AND CHOLESTEROL IMPROVES CARDIOVASCULAR DISEASE RISK PREDICTION: AN INDIVIDUAL-PARTICIPANT-DATA META-ANALYSIS. Am J Epidemiol (2017) 0.75
Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trials. Biom J (2006) 0.75
Estimation of life-years gained and cost effectiveness based on cause-specific mortality. Health Econ (2010) 0.75
Analyzing the duration of recurrent events in clinical trials: a comparison of approaches using data from the UK700 trial of psychiatric case management. Contemp Clin Trials (2005) 0.75
This special issue of Statistics in Medicine: (preface). Stat Med (2012) 0.75