| Proportional Hazards Regression 2008 Edition Contributor(s): O'Quigley, John (Author) |
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ISBN: 0387251480 ISBN-13: 9780387251486 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: February 2008 Annotation: The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it is no longer conceivable to offer a course on the subject without devoting at least half of the content to this topic alone. This book focuses on the theory and applications of a very broad class of models ??? proportional hazards and non-proportional hazards models, the former being viewed as a special case of the latter ??? which underlie modern survival analysis. Unlike other books in this area the emphasis is not on measure theoretic arguments for stochastic integrals and martingales. Instead, while inference based on counting processes and the theory of martingales is covered, much greater weight is placed on more traditional results such as the functional central limit theorem. |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Business & Economics | Econometrics |
| Dewey: 519.536 |
| LCCN: 2008920048 |
| Series: Statistics for Biology and Health |
| Physical Information: 1.18" H x 6.1" W x 9.41" (1.96 lbs) 564 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Proportional hazards models and their extensions (models with ti- dependent covariates, models with time dependent regression co- cients, models with random coe?cients and any mixture of these) can be used to characterize just about any applied problem to which the techniques of survival analysis are appropriate. This simple obser- tion enables us to ?nd an elegant statistical expression for all plausible practical situations arising in the analysis of survival data. We have a single unifying framework. In consequence, a solid understanding of the framework itself o?ers the statistician the ability to tackle the thorniestofquestionswhichmayarisewhendealingwithsurvivaldata. The main goal of this text is not to present or review the very s- stantial amount of research that has been carried out on proportional hazards and related models. Rather, the goal is to consider the many questions which are of interest in a regression analysis of survival data (prediction, goodness of ?t, model construction, inference and int- pretation in the presence of misspeci?ed models) from the standpoint of the proportional hazards and the non-proportional hazards models. |