Evaluation of a two-part regression calibration to adjust for dietary exposure measurement error in the Cox proportional hazards model: A simulation study

DOI10.1002/bimj.201500009zbMath1386.62040OpenAlexW2344063018WikidataQ89038488 ScholiaQ89038488MaRDI QIDQ3188688

George O. Agogo, Hilko van der Voet, Pieter van'T Veer, Hendriek C. Boshuizen, Fred A. van Eeuwijk

Publication date: 12 August 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201500009

zbMATH Keywords

attenuationmeasurement errorregression calibrationreference measurementsepisodically consumed foods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Related Items

A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data ⋮ A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake

Uses Software

• ElemStatLearn

Cites Work

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