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

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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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