Nutritional epidemiology methods and related statistical challenges and opportunities

DOI10.1080/24754269.2018.1466098OpenAlexW2803807100WikidataQ91692944 ScholiaQ91692944MaRDI QIDQ5879948

Ross L. Prentice, Ying Huang

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2018.1466098

zbMATH Keywords

measurement errorepidemiologyregression calibrationmetabolomicsfailure time datachronic diseasehazard rationutritional biomarker

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

On the formation and use of calibration equations in nutritional epidemiology – Discussion of the Paper by R. L. Prentice and Y. Huang

Cites Work

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• Covariate measurement errors and parameter estimation in a failure time regression model
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Partial likelihood
• Retrospective studies and failure time models
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
• Measurement Error in Nonlinear Models

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