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.
|Published (Last):||1 September 2017|
|PDF File Size:||3.86 Mb|
|ePub File Size:||4.35 Mb|
|Price:||Free* [*Free Regsitration Required]|
The book is a pleasure to read. Survival Analysis David G. The main part of the book consists of ten chapters outlining each of the four main approaches to multivariate survival analysis: A commendable feature is that each of the chapters starts with an intuitional introduction and ends with a brief summary section, bibliographic comments and exercises.
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.
A table outlines the limitations of each of the four main approaches.
Analysis of Multivariate Survival Data – Philip Hougaard – Google Books
This book is without any doubt an indispensable reading for both theoretical and practical statisticians. 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. It would thus be of most houfaard to applied statisticians or epidemiologists requiring a theoretical and practical grounding in the mltivariate of such data.
Analysis of Multivariate Survival Data.
Analysis of Multivariate Survival Data. | International Journal of Epidemiology | Oxford Academic
As the field is rather new, mulgivariate concepts and the possible types of data are described in detail. Some of the models in the latter chapters are more complex and less ready for practical use.
Citing articles via Google Scholar. These would be of most use for those seeking to understand fully the underlying mathematical statistics of these models.
Every chapter contains a set of exercises suitable to practice There are anzlysis at the end of each chapter. Oxford University Press is a department of the University of Oxford.
The summary of the theory includes a table outlining questions to consider when identifying the best model to use in a given situation. Home Contact Us Help Free delivery worldwide.
One of the most useful aspects of this book, in my opinion, is the extensive use made of practical ex show more. The last chapter provides a very useful summary of the text, with cross-references to the appropriate sections throughout.
Looking for beautiful books? This book is, at it states in the preface, a tool box rather than a cookbook, for those wishing to analyse multivariate survival data.
Visit our Beautiful Books page and houaard lovely books for kids, photography lovers and more.
Analysis of Multivariate Survival Data
The exercises at the end of each chapter makes it more useful There are exercises at the end of each chapter. The Best Books of The various datasets used as examples throughout the text are then detailed, and the five main aims of multivariate survival analysis presented in a table. 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.
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. Poor diet quality in pregnancy is associated with increased risk of excess fetal growth: In fact, this book will be most interesting for professional statisticians advancing to this field.
Regression Methods in Biostatistics Eric Vittinghoff.