Modeling and Analysis of Longitudinal Data
Srinivasa Rao, Arni S.R.
Martin, Donald E.K.
Rao, C.R.
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 authorsPresents the latest release in the Handbook of Statistics seriesUpdated release includes the latest information on Modeling and Analysis of Longitudinal Data INDICE: 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
- ISBN: 978-0-443-13651-1
- Editorial: Academic Press
- Encuadernacion: Cartoné
- Páginas: 360
- Fecha Publicación: 07/02/2024
- Nº Volúmenes: 1
- Idioma: Inglés