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Full Description
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.
Contents
Contributors in this volume include: Patrick Heagerty Peter Song Geert Verbeke Ziyue Liu Bernard Roy Frieden Damla Senturk Brian Tom You-Gan Wang Babatunde Gbadamosi Christian Geiser Bonnie Spring James Robert Carey