Published in Eur J Epidemiol on December 05, 2009
Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies. Int J Epidemiol (2010) 2.44
The Generation R Study: design and cohort update 2010. Eur J Epidemiol (2010) 1.85
Data harmonization and federated analysis of population-based studies: the BioSHaRE project. Emerg Themes Epidemiol (2013) 1.76
Age and gender differences in physical capability levels from mid-life onwards: the harmonisation and meta-analysis of data from eight UK cohort studies. PLoS One (2011) 1.45
Analysis of individual drug use as a time-varying determinant of exposure in prospective population-based cohort studies. Eur J Epidemiol (2010) 1.43
Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies. Int J Epidemiol (2011) 1.41
Cardiovascular and metabolic influences of fetal smoke exposure. Eur J Epidemiol (2011) 1.02
World Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonization Project: II. Clinical and covariate phenotype data collection in endometriosis research. Fertil Steril (2014) 0.98
The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design. Eur J Epidemiol (2010) 0.96
Get real in individual participant data (IPD) meta-analysis: a review of the methodology. Res Synth Methods (2015) 0.93
New studies, technology, and the progress of epidemiology. Eur J Epidemiol (2010) 0.81
Statistical approaches to harmonize data on cognitive measures in systematic reviews are rarely reported. J Clin Epidemiol (2014) 0.79
Toward Rigorous Data Harmonization in Cancer Epidemiology Research: One Approach. Am J Epidemiol (2015) 0.79
Comparison of Standardization Methods for the Harmonization of Phenotype Data: An Application to Cognitive Measures. Am J Epidemiol (2016) 0.75
Major lipids, apolipoproteins, and risk of vascular disease. JAMA (2009) 10.58
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med (2008) 9.39
Underestimation of risk associations due to regression dilution in long-term follow-up of prospective studies. Am J Epidemiol (1999) 6.42
Gene-environment interactions in human diseases. Nat Rev Genet (2005) 5.93
Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA (2009) 5.63
Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels, and coronary risk. JAMA (2008) 4.21
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases. Eur J Epidemiol (2007) 3.81
To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data. Eval Health Prof (2002) 3.11
The UK Biobank sample handling and storage protocol for the collection, processing and archiving of human blood and urine. Int J Epidemiol (2008) 2.73
Cohort profile: the Kadoorie Study of Chronic Disease in China (KSCDC). Int J Epidemiol (2005) 2.70
A candidate gene approach to searching for low-penetrance breast and prostate cancer genes. Nat Rev Cancer (2005) 2.62
The INTERPHONE study: design, epidemiological methods, and description of the study population. Eur J Epidemiol (2007) 2.30
Impact of Large-Scale Science on the United States: Big science is here to stay, but we have yet to make the hard financial and educational choices it imposes. Science (1961) 2.28
C-reactive protein and coronary heart disease: a critical review. J Intern Med (2008) 2.25
Diet and cancer--the European Prospective Investigation into Cancer and Nutrition. Nat Rev Cancer (2004) 2.24
The strengths and limitations of meta-analyses based on aggregate data. BMC Med Res Methodol (2005) 1.77
The emergence of networks in human genome epidemiology: challenges and opportunities. Epidemiology (2007) 1.61
EPIC-Heart: the cardiovascular component of a prospective study of nutritional, lifestyle and biological factors in 520,000 middle-aged participants from 10 European countries. Eur J Epidemiol (2007) 1.59
Has lipoprotein 'little' (a) shrunk? JAMA (1993) 1.16
Collaborative pooled analysis of data on C-reactive protein gene variants and coronary disease: judging causality by Mendelian randomisation. Eur J Epidemiol (2008) 1.14
Trends in meta-analysis of genetic association studies. J Hum Genet (2007) 1.13
CYP17 genetic variation and risk of breast and prostate cancer from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3). Cancer Epidemiol Biomarkers Prev (2007) 1.00
Genetic polymorphisms of the GNRH1 and GNRHR genes and risk of breast cancer in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3). BMC Cancer (2009) 0.78