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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As the field is rather new, the concepts and hougaadr possible types of data are described in detail. In addition it is a good reference to the technical literature available in this field.

Analysis of Multivariate Survival Data – Philip Hougaard – Google Books

Review Text From the reviews: It analsyis the University’s objective of excellence in research, scholarship, and education by publishing worldwide. One of the most useful aspects of this book, in my opinion, is the extensive use made of practical ex show more. Circulating vitamin D concentrations and risk of breast and prostate cancer: The example discussed the most often, the Danish twins study, is one which will be of particular relevance to those involved in genetics studies.

For some of the datasets, the data are given in the introduction in tabular form, so the reader could attempt to analyse the data and compare the results with those presented. Looking for beautiful books?

This book should prove an informative extension to the literature on survival analysis. The datasets on length of leukaemia remissions, number of epileptic seizures, exercise test times and competing risks all show types of surgival which occur in different types of epidemiological study.


Product details Format Hardback pages Dimensions x x The author’s discussion of time scales, the effect of censoring and the role of covariates touch the very heart of survival analysis. The Best Books of These datasets are analysed throughout the text, and results from the various different models presented, interpreted and compared.

The summary of the theory includes a table outlining questions to consider when identifying the best model to use in a given situation. The book divides into three main sections: Socioeconomic position during pregnancy and DNA methylation signatures at three stages across early life: Close mobile search navigation Article navigation. Some of the models in the latter chapters are more complex and less ready for practical use.

Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. Every chapter contains an extensive summary which is very helpful The chapter concludes with a summary of the datasets discussed throughout the text, discussing the main questions and which models are used to answer them.

Four different approaches to the analysis of such data are presented from an applied point of view. A table outlines the limitations of each of the four main approaches. Logistic Regression David G.

Sign In or Create an Account. The book is a pleasure to read.

This book is, at it states in the preface, a tool box rather than a cookbook, for those wishing to analyse multivariate survival data. The three dependence anlysis events, common risks and event-related dependence—are outlined in a non-mathematical chapter, with a useful table showing common data types relating to these three mechanisms.


This book extends the field by allowing for multivariate times.

Analysis of Multivariate Survival Data

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.

In my opinion the author has succeeded in completing a multivaruate monograph on multivariate survival analysis. Related articles in Google Scholar. I believe this to be the first book on multivariate survival.

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. | International Journal of Epidemiology | Oxford Academic

This book should prove an informative extension to the literature on survival analysis. His insights into the nature of dependence extend far beyond survival analysis and touch some of the most fundamental aspects of our discipline. 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 xata multivariate models.