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Editorial of the special issue “Longitudinal and incompletely observed data of quantitative measurements and events”. (Editorial du numéro spécial “Données longitudinales quantitatives, événementielles, incomplètement observées”.) (French, English) Zbl 1316.00031

From the text: This special issue entitled “Longitudinal and incompletely observed data of quantitative measurements and events” aims at covering a broader than usual spectrum as it combines the analysis of both quantitative data and events. The keyword here is “longitudinal” meaning that we have observations indexed by time allowing one to estimate the dynamics of the phenomena of interest. We felt the need to add “event” because the term “longitudinal data” has long been synonymous with quantitative longitudinal data, also known as “repeated measurements”. Event are also longitudinal in nature in the sense that they are also indexed by time: the most classical case is that of survival data, which can be generalized by considering events or multiple states. To collect the two types of data, “longitudinal studies” are needed. In addition, since the end of last century the joint modeling of both types of data has been developed. Finally, the observations are often incomplete because it is difficult to observe phenomena in continuous time, and the observation period starts at a certain calendar time and has a finite duration.
This issue contains five articles that address various problems related to this topic.

MSC:

00B15 Collections of articles of miscellaneous specific interest
62-06 Proceedings, conferences, collections, etc. pertaining to statistics
62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)
62N01 Censored data models
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