Royston / Sauerbrei Multivariable Model - Building

A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables
1. Auflage 2008
ISBN: 978-0-470-77078-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 322 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

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.

Autoren/Hrsg.

Royston, Patrick

Sauerbrei, Willi

Über Autor(innen)

Patrick Royston DSc, is a senior statistician and cancerclinical realist at the MRC Clinical Trials Unit, London, anhonorary professor of statistics at University College London and afellow of the Royal Statistical Society. he has authored manyresearch papers in biostatistics, and has published over 150articles in leading statistical journals. Patrick is an experiencedstatistical consultant, Stata programmer and software author.
Willi Sauerbrei PhD, is a senior statistician andprofessor in medical biometry at the IMBI, University MedicalCenter Freiburg. He has authored many research papers inbiostatistics and has published over 100 articles in leadingstatistical and clinical journals. He worked for more than twodecades as an academic biostatistician and has extensive experienceof cancer research, with a particular concern for breastcancer.