Modeling and analysis of longitudinal data 
edited by E.K. Martin, Arni S.R. Srinivasa Rao, C.R. Rao. 
 - United States:  Academic Press is an imprint of Elsevier,  2024. 
 - xvii, 342 p.:  ill. (some col.);  25 cm. 
 - Handbook of statistics 50,  v. 50  0169-7161; .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9780443136511 
<br/><br/><label>Subjects--Topical Terms: </label><br/>data consists
<br/><br/><label>Dewey Class. No.: </label>519.5