What question did this study set out to answer?

This study aims to evaluate the performance of various methods for correcting measurement error in functional modeling.

June 6, 2026Open Access

Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study

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Neutral comparison study evaluates measurement error correction methods in relation to binary outcomes.

This study aims to evaluate the performance of various methods for correcting measurement error in functional modeling.
Designed a blinded, controlled simulation study with four independent teams.
Created datasets simulating different true exposure-outcome relationships and distributions.
Employed methods like simulation-extrapolation, regression-calibration, and multiple imputation.
Identified effective combinations of measurement error correction methods and flexible regression techniques.
Quantified sampling variance in estimates through extensive simulations.
Demonstrated feasibility of neutral comparison studies in statistical method evaluation.

Thiébaut et al. (2026) studied this question.

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