What question did this study set out to answer?

This research addresses the challenge of correcting biases from measurement errors in both functional and scalar covariates within generalized linear regression models.

April 10, 2026Statistics in Medicine

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error

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Authors

YLYuanyuan LuanIndiana University Bloomington RZRoger S. ZohIndiana University Bloomington SJSneha JadhavWake Forest University

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Implication

Analyses reveal improved bias correction in functional and scalar covariates in a U.S. adult population, suggesting enhancements for accurate estimations.

Key Points

This research addresses the challenge of correcting biases from measurement errors in both functional and scalar covariates within generalized linear regression models.
Developed joint FSIMEX and MEM methods for correction of measurement errors.
Conducted extensive simulations comparing performance against Oracle, PACE, Naive_ave, and Naive_one methods.
Applied methods to NHANES data, focusing on physical activity and caloric intake as covariates.
Joint FSIMEX estimator showed low biases, outperforming Naive estimators.
MEM estimator performed comparably to the Oracle estimator.
Some covariate associations were reduced while others, especially physical activity, increased when using error-corrected estimators.

Cite This Study

Luan et al. (2026) studied this question.

synapsesocial.com/papers/69d8955f6c1944d70ce064a6 https://doi.org/10.1002/sim.70507

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Implication

Analyses reveal improved bias correction in functional and scalar covariates in a U.S. adult population, suggesting enhancements for accurate estimations.

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error

Discussion

Member takes

Implication

Key Points

Cite This Study

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error

Discussion

Member takes

Implication

Key Points

Cite This Study

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