Posted by **interes** at March 4, 2015

English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

Posted by **interes** at Jan. 28, 2014

English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models.

Posted by **step778** at Feb. 20, 2017

2005 | pages: 679 | ISBN: 0387251448 | PDF | 3,9 mb

Posted by **tanas.olesya** at Jan. 3, 2015

English | June 16, 2000 | ISBN: 0387950273 | 579 Pages | PDF | 39 MB

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure.

Posted by **fdts** at Sept. 14, 2013

by Geert Molenberghs, Geert Verbeke

English | 2005 | ISBN: 0387251448 | 687 pages | PDF | 5.3 MB

Posted by **AvaxGenius** at April 10, 2017

English | PDF | 2006 | 471 Pages | ISBN : 0387202749 | 8.63 MB

In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice.

Posted by **arundhati** at Dec. 30, 2016

2016 | ISBN-10: 1466568402 | 256 pages | PDF | 2 MB

Posted by **insetes** at Jan. 21, 2017

2014 | 424 Pages | ISBN: 1433817152 | PDF | 5 MB

Posted by **arundhati** at Dec. 9, 2016

2016 | ISBN-10: 1482253836 | 398 pages | PDF | 46 MB

Posted by **enmoys** at June 9, 2016

2014 | 424 Pages | ISBN: 1433817152 | PDF | 5 MB