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Longitudinal Data with Covariate Measurement Error

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Abstract

Longitudinal studies are routinely conducted in various fields, including epidemiology, health research, and clinical trials. A variety of modeling and inference approaches are available for longitudinal data analysis. The validity of these methods relies on an important requirement that variables are precisely measured. This assumption is, however, often violated in practice.

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Yi, G.Y. (2017). Longitudinal Data with Covariate Measurement Error. In: Statistical Analysis with Measurement Error or Misclassification. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6640-0_5

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