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.
A New Multivariate Measurement Error Model with Zero-Inflated Dietary Data, and Its Application to Dietary Assessment
This paper describes a statistical approach to model dietary pattern data when multiple dietary constituents are analyzed simultaneously, using a multivariate error model with zero-inflated dietary data.