Approximate maximum likelihood estimation for logistic regression with covariate measurement error
Author:
Affiliation:
1. College of Big Data and Internet Shenzhen Technology University Shenzhen P. R. China
2. Department of Mathematics The Hong Kong University of Science and Technology Hong Kong SAR P. R. China
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000024
Reference35 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
2. Measurement Error in Nonlinear Models
3. Simulation-Extrapolation Estimation in Parametric Measurement Error Models
4. Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis
5. Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium
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