This paper describes an extension to modeling usual intake distributions for episodically consumed foods, to assess the relationship between usual intake and health outcomes in a regression calibration model. The coding required for applying this approach to a dataset is included among the set of macros for the National Cancer Institute (NCI) method, available online.
Intake’s online resource library has been developed to provide easy access to grey literature and links to peer reviewed journal articles that are relevant to the collection, analysis, and use of dietary data in low- and middle-income countries. The library includes Intake technical reports and briefs, guidance documents, survey planning tools, and videos, as well as access to a curated set of publications and tools authored by others. Users should note that Intake's online resource library is still under development. Once completed, the resource library will be updated periodically.