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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It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide. Related articles in Google Scholar. Various aspects of the theory and statistical inference for each of these approaches are discussed, including helpful sections on assessing goodness-of-fit and choosing between the different models available within each approach.

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Analysis of Multivariate Survival Data. | International Journal of Epidemiology | Oxford Academic

Looking for beautiful books? Analysis of Multivariate Survival Data. The book is a pleasure to read.

This book is without any doubt an indispensable reading for both theoretical and practical statisticians. There are exercises at the end of each chapter.

Analysis of Multivariate Survival Data

The chapter summary and bibliographic comments are also very useful. Product details Format Hardback pages Dimensions x x The aim of the book is very clearly laid down. Four different approaches to the analysis of such data are presented from an applied point of view. A chapter summarizing approaches to univariate survival data follows, with indications as to which sections are most important as forming the basis for development of the different multivariate models.

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Throughout the book datx developments are extensively exemplified by real-life examples and computational aspects are dealt with as well. Circulating vitamin D concentrations and risk of breast and prostate cancer: Adequate up-to-date references are provided for interested readers to follow up if required.

The main part of the book hougaad of ten chapters outlining each of the four main approaches to multivariate survival analysis: By using our website you agree to our use of cookies.

Unlike other books on survival, most of which multivriate just one or two chapters analysia with multivariate material, this book is the first comprehensive treatment fully focusing on multivariate survival data One of the most useful aspects of this book, in my opinion, is the extensive use made of practical ex show more.

Analyzing Ecological Data Alain F. Close mobile search navigation Article navigation. The datasets on length of leukaemia remissions, number of epileptic seizures, exercise test times and competing risks all show types of data which occur in different types of epidemiological study.

Regression Methods in Biostatistics Eric Vittinghoff.

Check out the top books of the year on our page Best Books of The author’s discussion of og scales, the effect of censoring and the role of covariates touch analyssi very heart of survival analysis. Extending the Cox Model Terry Therneau. 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.

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The organization of the book, and the good use of cross referencing, mean that it can be read in varying degrees of depth.

The exercises at the end of each chapter makes it more useful Several of the exercises suggest analyses of specific datasets described in the introduction. I believe this to be the first book on multivariate survival. 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. Dispatched from the UK in 1 business day When will my order arrive?

I think that this book will be useful to statisticians who are dealing with modeling multivariate failure time data in their applied work. The datasets are described fully in the introduction, and include several examples of each of the more common types of multivariate data. 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.

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