Multivariable Model-Building by Patrick Royston
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Multivariable Model-Building
By Patrick Royston

Multivariable Model-Building

A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modelling Continuous Variables

By (author) See other recent books by Patrick Royston See other recent books by Willi Sauerbrei
Format: Hardback

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Multivariable Model-Building by Patrick Royston

Book Description

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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Book Details

ISBN: 9780470028421
ISBN-10: 0470028424
Format: Hardback
(254mm x 176mm x 23mm)
Pages: 322
Imprint: Wiley-Blackwell
Publisher: John Wiley and Sons Ltd
Publish Date: 9-May-2008
Country of Publication: United States

Books By Author Patrick Royston


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Author Biography - Patrick Royston

Patrick Royston DSc, is a senior statistician and cancer clinical realist at the MRC Clinical Trials Unit, London, an honorary professor of statistics at University College London and a fellow of the Royal Statistical Society. he has authored many research papers in biostatistics, and has published over 150 articles in leading statistical journals. Patrick is an experienced statistical consultant, Stata programmer and software author. Willi Sauerbrei PhD, is a senior statistician and professor in medical biometry at the IMBI, University Medical Center Freiburg. He has authored many research papers in biostatistics and has published over 100 articles in leading statistical and clinical journals. He worked for more than two decades as an academic biostatistician and has extensive experience of cancer research, with a particular concern for breast cancer.

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