Longitudinal Data Analysis, Volume 50 in the Handbook of Statistics 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.

- Provides the authority and expertise of leading contributors from an international board of authors

- Presents the latest release in the Handbook of Statistics series

- Updated release includes the latest information on Modeling and Analysis of Longitudinal Data