Asynchronous and error-prone longitudinal data analysis via functional calibration.
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DOI: 10.1111/biom.13866
Abstract: In many longitudinal settings, time-varying covariates may not be measured at the same time as responses and are often prone to measurement error. Naive last-observation-carried-forward methods incur estimation biases, and existing kernel-based methods suffer from… read more here.
Keywords: time; error prone; error; functional calibration ... See more keywords