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Analysis of longitudinal data involves aspects of both time series and multivariate analysis. Modern computer packages make these calculations possible and have lead to refinement of the techniques
Monografía
monografia Rebiun36044332 https://catalogo.rebiun.org/rebiun/record/Rebiun36044332 m o d | cr#cn#nnn||||| 010423s2002 enka ob 001 0 eng d 0-19-175583-4 0-19-166433-2 0-19-852484-6 0-19-166432-4 10.1093/oso/9780198524847.001.0001 doi UAM 991008030804904211 UCAR 991006600219704213 MiAaPQ eng rda pn MiAaPQ MiAaPQ 519.5/35 23 Analysis of longitudinal data Peter J. Diggle ... [et al.]. 2nd ed Oxford Oxford University Press 2002 Oxford Oxford Oxford University Press 1 online resource (xv, 379 pages) illustrations 1 online resource (xv, 379 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier Oxford statistical science series 25 Previous ed.: / Peter J. Diggle, Kung-Yee Liang, Scott L. Zeger. Oxford : Clarendon, 1994 Includes bibliographical references and index 1. Introduction -- 2. Design considerations -- 3. Exploring longitudinal data -- 4. General linear models for longitudinal data -- 5. Parametric models for covariance structure -- 6. Analysis of variance methods -- 7. Generalized linear models for longitudinal data -- 8. Marginal models -- 9. Random effects models -- 10. Transition models -- 11. Likelihood-based methods for categorical data -- 12. Time-dependent covariates -- 13. Missing values in longitudinal data -- 14. Additional topics -- Appendix - Statistical background Analysis of longitudinal data involves aspects of both time series and multivariate analysis. Modern computer packages make these calculations possible and have lead to refinement of the techniques Longitudinal method Time-series analysis Multivariate analysis Diggle, Peter Print version 9780199676750 0-19-967675-5 1-299-68392-4 Oxford statistical science series 25 Oxford scholarship online