The Multiple Source Method (MSM) 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 food propensity questionnaire 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 population distributions.

NOTE: 2025-12-16: Please use only ASCII characters in your filename. Other characters with accent, umlauts or greek characters will lead to an error upon upload. Thank you for your understanding.

NOTE: 2024-05-16: Please check your data files before uploading and remove any excessive empty rows (containing only separators or only zeros & separators) These can create memory problems, especially if they are very abundant (there are cases of more than a millon empty lines) which renders this service unavailable. Thank you for your cooperation.

Update: 2023-08-28 : For performance reasons we have implemented a short daily blackout period for restarting of the MSM program. Please be aware that on 10h00 to 10h05 CE(S)T, the MSM program will not be available. Make sure that you have finished your analyses and downloaded any results by then.

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. Thank you for your cooperation.