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Application of systematic evidence mapping to identify available data on the potential human health hazards of selected market-relevant azo dyes
Environment international, 2023-06, Vol.176, p.107952-107952, Article 107952
2023
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DAGitty: A Graphical Tool for Analyzing Causal Diagrams
Epidemiology (Cambridge, Mass.), 2011-09, Vol.22 (5), p.745-745
2011
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Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies
European journal of epidemiology, 2017-05, Vol.32 (5), p.363-375
2017
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Is a Single 24-hour Dietary Recall per Person Sufficient to Estimate the Population Distribution of Usual Dietary Intake?
The Journal of nutrition, 2019-09, Vol.149 (9), p.1491-1492
2019
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Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies
Critical reviews in food science and nutrition, 2019-04, Vol.59 (7), p.1071-1090
2019
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Food groups and risk of all-cause mortality: a systematic review and meta-analysis of prospective studies
The American journal of clinical nutrition, 2017-06, Vol.105 (6), p.1462-1473
2017
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Food groups and risk of colorectal cancer
International journal of cancer, 2018-05, Vol.142 (9), p.1748-1758
2018
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Effects of oils and solid fats on blood lipids: a systematic review and network meta-analysis
Journal of lipid research, 2018-09, Vol.59 (9), p.1771-1782
2018
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Food Groups and Risk of Hypertension: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies
Advances in nutrition (Bethesda, Md.), 2017-11, Vol.8 (6), p.793-803
2017
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Functional relevance of radiographic spinal progression in axial spondyloarthritis: results from the GErman SPondyloarthritis Inception Cohort
Rheumatology (Oxford, England), 2018-04, Vol.57 (4), p.703-711
2018
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Quantitative allergenicity risk assessment of food products containing yellow mealworm (Tenebrio molitor)
Food and chemical toxicology, 2020-08, Vol.142, p.111460, Article 111460
2020
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Contribution to the understanding of how principal component analysis–derived dietary patterns emerge from habitual data on food consumption
The American journal of clinical nutrition, 2018-02, Vol.107 (2), p.227-235
2018
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DAG Program: Identifying Minimal Sufficient Adjustment Sets
Epidemiology (Cambridge, Mass.), 2010-01, Vol.21 (1), p.159-159
2010
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Consumption of Dairy Products in Relation to Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Cohort Studies
PloS one, 2016-06, Vol.11 (6), p.e0157461
2016
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Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research
Advances in nutrition (Bethesda, Md.), 2016-11, Vol.7 (6), p.994-1004
2016
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Dyadic analysis of the relationship between food neophilia and dietary quality among older heterosexual couples: Findings from the NutriAct Family Study
Food quality and preference, 2023-08, Vol.110, p.104952, Article 104952
2023
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Estimating Usual Food Intake Distributions by Using the Multiple Source Method in the EPIC-Potsdam Calibration Study
The Journal of nutrition, 2011-05, Vol.141 (5), p.914-920
2011
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Risks of misinterpretation of biomarker measurements in spot urine adjusted for creatinine – A problem especially for studies comparing plant based with omnivorous diets
International journal of hygiene and environmental health, 2023-04, Vol.249, p.114142-114142, Article 114142
2023
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Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population
PloS one, 2018-08, Vol.13 (8), p.e0202936-e0202936
2018
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Intake of 12 food groups and disability-adjusted life years from coronary heart disease, stroke, type 2 diabetes, and colorectal cancer in 16 European countries
European journal of epidemiology, 2019-08, Vol.34 (8), p.765-775
2019
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Traditional risk factors for essential hypertension: analysis of their specific combinations in the EPIC-Potsdam cohort
Scientific reports, 2019-02, Vol.9 (1), p.1501, Article 1501
2019
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Generating the evidence for risk reduction: a contribution to the future of food-based dietary guidelines
Proceedings of the Nutrition Society, 2018-11, Vol.77 (4), p.432-444
2018
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Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis
International journal of epidemiology, 2016-10, Vol.45 (5), p.1406-1420
2016
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Associations of food groups and cardiometabolic and inflammatory biomarkers: does the meal matter?
British journal of nutrition, 2019-09, Vol.122 (6), p.707-716
2019
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Gaussian graphical models identified food intake networks and risk of type 2 diabetes, CVD, and cancer in the EPIC-Potsdam study
European journal of nutrition, 2019-06, Vol.58 (4), p.1673-1686
2019
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