about
A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study.Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis.A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation dataMulti-locus stepwise regression: a haplotype-based algorithm for finding genetic associations applied to atopic dermatitis.Alcohol consumption, genetic variants in alcohol deydrogenases, and risk of cardiovascular diseases: a prospective study and meta-analysis.Combined impact of healthy lifestyle factors on colorectal cancer: a large European cohort studyHeterogeneity of the Stearoyl-CoA desaturase-1 (SCD1) gene and metabolic risk factors in the EPIC-Potsdam study.Use of two-part regression calibration model to correct for measurement error in episodically consumed foods in a single-replicate study design: EPIC case study.Microsomal triglyceride transfer protein -164 T > C gene polymorphism and risk of cardiovascular disease: results from the EPIC-Potsdam case-cohort study.Evaluation of 41 candidate gene variants for obesity in the EPIC-Potsdam cohort by multi-locus stepwise regression.Consumption of Dairy Products in Relation to Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Cohort Studies.Development and validation of a risk score predicting substantial weight gain over 5 years in middle-aged European men and womenSCISSOR-Spinal Cord Injury Study on Small molecule-derived Rho inhibition: a clinical study protocol.Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list.Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies.Food groups and risk of all-cause mortality: a systematic review and meta-analysis of prospective studies.Eating out is different from eating at home among individuals who occasionally eat out. A cross-sectional study among middle-aged adults from eleven European countries.Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research.Challenges in estimating the validity of dietary acrylamide measurements.DAGitty: a graphical tool for analyzing causal diagrams.Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study.Dopamine-glutamate abnormalities in the frontal cortex associated with the catechol-O-methyltransferase (COMT) in schizophrenia.Evaluating the effect of measurement error when using one or two 24 h dietary recalls to assess eating out: a study in the context of the HECTOR project.Food groups and risk of colorectal cancer.Food Groups and Risk of Hypertension: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies.Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies.Functional relevance of radiographic spinal progression in axial spondyloarthritis: results from the GErman SPondyloarthritis Inception Cohort.Reply to JJ Meerpohl et al.Serum metabolites related to cardiorespiratory fitness, physical activity energy expenditure, sedentary time and vigorous activity.Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption.Joint effect of unlinked genotypes: application to type 2 diabetes in the EPIC-Potsdam case-cohort study.DAG program: identifying minimal sufficient adjustment sets.Polymorphisms in fatty-acid-metabolism-related genes are associated with colorectal cancer risk.The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choiceEffects of oils and solid fats on blood lipids: a systematic review and network meta-analysisMeal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult populationGaussian graphical models identified food intake networks and risk of type 2 diabetes, CVD, and cancer in the EPIC-Potsdam studyGenerating the evidence for risk reduction: a contribution to the future of food-based dietary guidelinesGaussian graphical models identified food intake networks and risk of type 2 diabetes, CVD, and cancer in the EPIC-Potsdam studyTraditional risk factors for essential hypertension: analysis of their specific combinations in the EPIC-Potsdam cohort
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P50
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wetenschapper
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հետազոտող
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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Sven Knüppel
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P214
P106
P214
P31
P496
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P735
P7859
viaf-317065525