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.

Zhang S, Midthune D, Guenther PM, Krebs-Smith SM, Kipnis V, Dodd KW, Buckman DW, Tooze JA, Freedman LS, Carroll RJ
Focus Area:
Dietary data analysis
Publication type:
Peer reviewed articles