Application of a New Statistical Method to Derive Dietary Patterns in Nutritional Epidemiology
German Institute of Human Nutrition
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Abstract
Because foods are consumed in combination, it is difficult in observational studies to separate the effects of single foods on the development of diseases. A possible way to examine the combined effect of food intakes is to derive dietary patterns by using appropriate statistical methods. The objective of this study was to apply a new statistical method, reduced rank regression (RRR), that is more flexible and powerful than the classic principal component analysis. RRR can be used efficiently in nutritional epidemiology by choosing disease-specific response variables and determining combinations of food intake that explain as much response variation as possible. The authors applied RRR to extract dietary…
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660
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1Topics & keywords
Topics
Keywords
- Nutritional epidemiology
- Principal component analysis
- Observational study
- Statistics
- Epidemiology
- Medicine
- Type 2 diabetes
- Regression analysis
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