A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake-Reference-Cited by-同舟云学术

A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake

Published:2016-10-05 Issue:1 Volume:59 Page:94-109
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Agogo George O.¹

Affiliation:

1. Department of Internal Medicine; Yale University; 300 George St, Suite 775 New Haven CT 06511 USA

Funder

Yale Claude D. Pepper Older Americans Independence Center

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201600043/fullpdf

Reference32 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. Evaluation of a two-part regression calibration to adjust for dietary exposure measurement error in the Cox proportional hazards model: a simulation study;Agogo;Biometrical Journal,2016

3. Likelihood of a model and information criteria;Akaike;Journal of Econometrics,1981

4. The design of simulation studies in medical statistics;Burton;Statistics in Medicine,2006

5. Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology;Carroll;American Journal of Epidemiology,2012

Cited by 11 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. Nonnegative GARCH-type models with conditional Gamma distributions and their applications;Computational Statistics & Data Analysis;2024-10

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. Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm;BMC Medical Informatics and Decision Making;2023-09-09

4. 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

5. Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in GaGLM;IEEE Access;2022