Multivariable Model - Building

Beschreibung

Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which there is no standard approach. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models.

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Patrick Royston

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Biostatistics Biostatistik Data Analysis Datenanalyse Medical Science Medizin Regression Analysis Regressionsanalyse Statistics Statistik

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"This new approach, developed in part by the authors overthe last decade, is a compromise which promotes interpretable,comprehensible and transportable models." (Zentralblatt Math, 1 October 2013)"The book is very useful for practicing statisticians and canalso be recommended for teaching purposes." (BiometricalJournal, July 2009) "It is an excellent book on multivariable model-building,presenting the material in an easy-to-understand and informalstyle." (Mathematical Reviews, 2009) "This excellent book fills a gap in the current literature onstatistical modelling. It is the first time that a book is devotedto the whole breadth of application of fractional polynomials. Theauthors are the experts on this useful methodology." (Statisticsin Medicine, Feb 2009)
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