Multivariable Model - Building

Author: Patrick Royston
Edition: 1
Publisher: Wiley
Binding: Hardcover
ISBN: 0470028424

Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables (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. Medical books Multivariable Model - Building. 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 Medical books Multivariable Model - Building, 9780470028421. Multivariable Model - Building, ISBN-13: 9780470028421, ISBN-10: 0470028424

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Multivariable Model - Building, ISBN-13: 9780470028421, ISBN-10: 0470028424

author patrick royston author willi sauerbrei format hardback language english publication year 09 05 2008 series wiley series in probability and statistics subject mathematics sciences subject 2 mathematics title multivariable model building a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables author royston patrick sauerbrei willi publisher john wiley sons inc publication date jul 08 2008 pages 322 binding hardcover edition 1 st dimensi

Multivariable regression models are widely used in all areas of science in which empirical data are analysed. Using the multivariable fractional polynomials (MFP) approach this book focuses on the selection of important variables and the determination of functional form for continuous predictors. Despite being relatively simple, the selected models often extract most of the important information from the data. The authors have chosen to concentrate on examples drawn from medical statistics, although the MFP method has applications in many other subject-matter areas as well. "Multivariable Mode

Medical Book Multivariable Model - Building

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.