Longitudinal Data Analysis

Longitudinal 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 arise in a variety of fields, such as health sciences, genomic studies, experimental physics, sociology, sports and student enrollment in universities. Many challenges can arise in longitudinal studies. For example, in health studies, intra-subject correlation of responses must be accounted for, covariates can vary with time, and bias can arise due to patients dropping out of the study. This volume under development brings recent and classical works in the modeling and analysis of longitudinal data and their utility for improving society. Provides the authority and expertise of leading contributors from an international board of authorsPresents the latest release in the Handbook of Statistics seriesUpdated release includes the latest information on Modeling and Analysis of Longitudinal Data