ArticleStatistica Sinica2023
PARTIALLY FUNCTIONAL LINEAR QUANTILE REGRESSION WITH MEASUREMENT ERRORS.
Article in Statistica Sinica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression.Statistics in medicine · 2026Article
- Clustering Functional Data With Measurement Errors: A Simulation-Based Approach.Statistics in medicine · 2024Article
- Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates.Biostatistics & epidemiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Ignoring measurement errors in conventional regression analyses can lead to biased estimation and inference results. Reducing such bias is challenging when the error-prone covariate is a functional curve. In this paper, we propose a new corrected loss function for a partially functional linear quantile model with function-valued measurement errors. We establish the asymptotic properties of both the functional coefficient and the parametric coefficient estimators. We also demonstrate the finite-sample performance of the proposed method using simulation studies, and illustrate its advantages by applying it to data from a children obesity study.
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Registered trials
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