We refer to longitudinal data as repeated observations of the same variables on the same units over multiple time periods. They can be collected either prospectively, following subjects forward in time, or retrospectively, by extracting multiple measurements on each unit from historical records. The process of Editing and Imputation can exploit the longitudinal characteristic of the data as auxiliary information, useful at both the editing and the imputation stages. This theme describes the editing process applied to longitudinal data, that could be performed for all aforementioned types of data, with special focus on Short Term Statistics context.
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