Modeling and analysis of longitudinal data edited by E.K. Martin, Arni S.R. Srinivasa Rao, C.R. Rao.

Contributor(s):

Material type: Text

TextSeries: Handbook of statistics 50 ; v. 50Publication details: United States: Academic Press is an imprint of Elsevier, 2024.Description: xvii, 342 p.: ill. (some col.); 25 cmISBN:

9780443136511

Subject(s):

data consists

DDC classification:

519.5

Summary: 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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam	519.5 (Browse shelf(Opens below))	Available		C00885

Includes bibliographical references and index.

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.

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