\u003ci\u003eLongitudinal Data Analysis, Volume 50\u003c/i\u003e in the \u003ci\u003eHandbook of Statistics\u003c/i\u003e series covers how data consists of a series of repeated observations of the same subjects over an extended time frame and is thus useful for measuring change. Such studies and the data arise in a variety of fields, such as health sciences, genomic studies, experimental physics, sociology, sports and student enrollment in universities. For example, in health studies, intra-subject correlation of responses must be accounted for, covariates vary with time, and bias can arise if patients drop out of the study.\u003cul\u003e\u003cli\u003eProvides the authority and expertise of leading contributors from an international board of authors\u003c/li\u003e\u003cli\u003ePresents the latest release in the Handbook of Statistics series\u003c/li\u003e\u003cli\u003eUpdated release includes the latest information on Modeling and Analysis of Longitudinal Data\u003c/li\u003e\u003c/ul\u003e
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