January 3, 2020

Request PDF on ResearchGate | Analysis of Multivariate Survival Data | Introduction.- Univariate survival data. Philip Hougaard at Lundbeck. Philip Hougaard. This book is, at it states in the preface, a tool box rather than a cookbook, for those wishing to analyse multivariate survival data. It would thus be. Analysis of Multivariate Survival Data. Philip Hougaard, Springer, New York, No. of pages: xvii+ Price: $ ISBN 0‐‐‐4.

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Regression Methods in Biostatistics Eric Vittinghoff. Receive exclusive offers and updates from Oxford Academic. The level of mathematical detail is nice Oxford University Press is a department of the University of Oxford. Email alerts New issue alert. The organization of the book, and the good use of cross-referencing, mean that it can be read in varying degrees of depth.

Multivariage insights into the nature of dependence extend far beyond survival analysis and touch some of the most fundamental aspects of our discipline.

There are exercises at the end of each chapter. In the case of the main chapters describing the different approaches, these are theoretically-based, and include examples of deriving transition probabilities for the multi-state model and survivor functions frailty models.

Extending the Cox Model Terry Therneau. Survival Analysis John P.

In fact, this book will be most interesting for professional statisticians advancing to this field. The example discussed the most often, the Danish surival study, is one which will be of particular relevance to those involved in genetics studies. Hougaarv practical section on the course of analysis includes tables and discussion of which models are appropriate for which type of data and the relevance of each approach for various purposes.


Review Text From the reviews: The exercises at the end of each chapter makes it more useful This book extends the field by allowing for multivariate times.

Analysis of Multivariate Survival Data – Philip Hougaard – Google Books

This book should prove an informative extension to the literature on survival analysis. The exercises at the end of the more applied chapters relate more to the identification of sources of bias, dependence mechanisms and time-frames, study design and choice of analysis.

Description Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. Anyone considering writing the second book has a hard act to follow – this sets a very high standard and is recommended for all statisticians with an interest in survival analysis techniques.

There are exercises at the end of each chapter.

Check out the top books daha the year on our page Best Books of This book should prove an informative extension to the literature on survival analysis. I think that this book will be useful to statisticians who are dealing with modeling multivariate failure time data in their applied work. Visit our Beautiful Books page and find lovely books for kids, photography lovers and more.

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Analysis of Multivariate Survival Data

The book is a pleasure to read. By using our website you agree to our use of cookies. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide. The first chapter briefly describes the main features of survival data, and the two main types of multivariate survival data parallel and longitudinal.

Home Contact Us Help Free delivery worldwide. This book is a long-awaited work that summarizes the state of the art of multivariate survival analysis and provides a valuable reference. The main part of the book consists of ten chapters outlining each of the four main approaches to multivariate survival analysis: Analysis of Multivariate Multifariate Data.

Statistical Methods in Bioinformatics Warren J. Analyzing Ecological Data Alain F. In my opinion the author has succeeded in completing a valuable monograph on multivariate survival analysis.