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Updated: Dec 9, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Approximate maximum likelihood estimation for logistic regression with covariate measurement error.

Zhiqiang Cao1,2, Man Yu Wong2

  • 1College of Big Data and Internet, Shenzhen Technology University, Shenzhen, P. R. China.

Biometrical Journal. Biometrische Zeitschrift
|September 11, 2020
PubMed
Summary

This study introduces an approximate maximum likelihood estimation (AMLE) to address measurement error in dietary intake data from nutritional epidemiology. The method improves statistical power and reduces bias in analyses using food frequency questionnaires.

Keywords:
approximate maximum likelihoodlogistic regressionmeasurement errornutritional epidemiology

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