A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data-Reference-Cited by-同舟云学术

A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data

Published:2020-11-13 Issue: Volume: Page:1-18
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Agogo George O.¹²,Muoka Alexander K.³⁴

Affiliation:

1. Division of Global Health Protection, US Centers for Disease Control and Prevention, Nairobi, Kenya

2. Department of Internal Medicine, Yale University, New Haven, CT, USA

3. School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa

4. School of Science and Informatics, Taita Taveta University, Voi, Kenya

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1845622

Reference41 articles.

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

2. 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

3. A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data

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

5. The design of simulation studies in medical statistics

Cited by 2 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. National Nutrition Surveys Applying Dietary Records or 24-h Dietary Recalls with Questionnaires: A Scoping Review;Nutrients;2023-11-09

2. 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