Evaluation of a two-part regression calibration to adjust for dietary exposure measurement error in the Cox proportional hazards model: A simulation study-Reference-Cited by-同舟云学术

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

Published:2016-03-22 Issue:4 Volume:58 Page:766-782
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Agogo George O.¹²,van der Voet Hilko¹,van't Veer Pieter³,van Eeuwijk Fred A.¹,Boshuizen Hendriek C.¹²³

Affiliation:

1. Biometris, Wageningen University and Research Centre; Postbus 16 6700 AA Wageningen The Netherlands

2. National Institute for Public Health and the Environment; Postbus 1 3720 BA Bilthoven The Netherlands

3. Division of Human Nutrition; Wageningen University; Postbus 8129 6700 EV Wageningen The Netherlands

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201500009/fullpdf

Reference38 articles.

1. Use of two-part regression calibration model to correct for measurement error in episodically consumed foods in a single-replicate study design: EPIC case study;Agogo;PLoS One,2014

2. Fruit and vegetable intakes, dietary antioxidant nutrients, and total mortality in Spanish adults: findings from the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Spain);Agudo;American Journal of Clinical Nutrition,2007

3. Regression calibration for classical exposure measurement error in environmental epidemiology studies using multiple local surrogate exposures;Bateson;American Journal of Epidemiology,2010

4. Generating survival times to simulate Cox proportional hazards models;Bender;Statistics in Medicine,2005

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regression calibration of self-reported mobile phone use to optimize quantitative risk estimation in the COSMOS study;American Journal of Epidemiology;2024-05-13

2. Correcting for measurement error in assessing gestational age in a low-resource setting: a regression calibration approach;Frontiers in Medicine;2023-10-12

3. A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality;Annals of Epidemiology;2023-06

4. Regression calibration of self-reported mobile phone use to optimize quantitative risk estimation in the COSMOS study;2023-03-02

5. A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data;Journal of Applied Statistics;2020-11-13