A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
We propose a novel approach for longitudinal data modeling within the Generalized Linear Models family, whenever a covariate of interest is affected by measurement error. We jointly model the response (outcome model), the covariate observed with error (measurement model) and the underlying unobserve...
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Veröffentlicht in: | Advances in data analysis and classification 2022-06, Vol.16 (2), p.273-300 |
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