Modeling and Analysis of Longitudinal Data

Bibliographic Details
Title: Modeling and Analysis of Longitudinal Data
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.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
Authors: Arni S.R. Srinivasa Rao, Donald E.K. Martin, C.R. Rao
Resource Type: eBook.
Subjects: Longitudinal method
Categories: MATHEMATICS / Probability & Statistics / Stochastic Processes
Database: eBook Index
Description
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