explains the usage of the and provides background information about the method
NOTE: 2020-10-15: To avoid memory shortages, we have introduced a file size limit of 10MB. If you have a larger dataset, please consider restructuring it by including only the variables absolutely necessary for your analysis. Using the smallest prossible data file will conserve the systems memory and allows other users to use this ressource as well.
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is characterized by a two-part shrinkage technique applied to residuals of two regression models, one for the positive daily intake data and one for the event of consumption. The method is applicable to nutrient and food intake including episodically consumed foods. Variation in intake that is explained by socio-demographic variables selected in advance is not affected by the method. The additional use of a is possible. The method is suitable to estimate individual usual intake in the case of many repeated measurements and a long time period. The method can handle different distributions of food and nutrient data and constructs proper .
you can calculate the from 24h recall information and supporting data such as food frequency data.