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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One of the most useful aspects of this book, in my opinion, is the extensive use made of practical ex show more.
Analysis of Multivariate Survival Data
Some of the models in the latter chapters are more complex and less ready for practical use. Survival Analysis David G.
analhsis One of the most useful aspects of this book, in my opinion, is the extensive use made of practical examples. 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. The chapter summary and bibliographic comments are also very useful. Sign In or Create an Account. Questions to consider before choosing between specific multi-state models, frailty models, marginal models and multviariate approaches are considered in more detail in four separate tables.
Every chapter contains a set of exercises suitable to practice Extending the Cox Model Terry Therneau. The last chapter provides a very useful summary of the text, with cross-references to the appropriate sections throughout.
Poor diet quality in pregnancy is associated with increased risk of excess fetal growth: I think that this book will be useful to statisticians who are dealing with modeling multivariate failure time data in their applied work. Socioeconomic position during pregnancy and DNA methylation signatures at three stages across early life: This book is without any doubt an indispensable reading for both theoretical and practical statisticians.
The datasets are described fully in the introduction, and include several examples of each of the more common types of multivariate data.
Check out the top books of the year on our page Best Books of Clinical Prediction Models Ewout W. Product details Format Hardback pages Dimensions x x I believe this to be the first book on multivariate survival.
These datasets are analysed throughout the text, and results from the various different models presented, interpreted and compared. In fact, this book will be most interesting for professional statisticians advancing to this field. Looking for beautiful books? These chapters contain much theoretical development, including statistical derivation and issues around estimation of the various models, and are more mathematically-orientated than the rest of the book. Circulating vitamin D concentrations and risk of breast and prostate cancer: Unlike other books on survival, most of which have just one or two chapters dealing with multivariate material, this book is the first comprehensive treatment fully focusing on multivariate survival data This book is a long-awaited work that summarizes the state of the art of multivariate survival analysis and provides a valuable reference.
The book is a pleasure to read. Regression Methods in Biostatistics Eric Vittinghoff. This book is, at it states in the preface, a tool box rather than a cookbook, for those wishing to analyse multivariate survival data.
Analysis of Multivariate Survival Data : Philip Hougaard :
There are exercises at the end of each chapter. Analysis of Multivariate Survival Data. The level of mathematical detail is nice Home Contact Us Help Free delivery worldwide.
There are exercises at the end of each chapter. Review quote From the reviews: The summary of the theory includes a table outlining questions to consider when identifying the best model to use in a given situation.