Analysis of longitudinal data / 
Peter J. Diggle, Directer, Medical Statistics Unit, Lancaster University [and three others]. 
 - 2nd ed. 
 - U.K.  Oxford  2013 
 - xv, 379 pages :  illustrations ;  23 cm. 
<br/><br/> Table of Contents<br/>1:Introduction<br/>2:Design considerations<br/>3:Exploring longitudinal data<br/>4:General linear models<br/>5:Parametric models for covariance structure<br/>6:Analysis of variance methods<br/>7:Generalized linear models for longitudinal data<br/>8:Marginal models<br/>9:Random effects models<br/>10:Transition models<br/>11:Likelihood-based methods for categorical data<br/>12:Time-dependent covariates<br/>13:Missing values in longitudinal data<br/>14:Additional topics<br/>Appendix<br/>Bibliography<br/>Index 
<br/><br/><label>ISBN: </label>9780199676750 (paperback)  4958.00 0199676755 (paperback) 
<br/><br/><label>LCCN: </label>2013444126 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Multivariate analysis.<br/>Time-series analysis.<br/>Longitudinal method.<br/>Life sciences
<br/><br/><label>Dewey Class. No.: </label>R 519.535 ANA.Ed2