Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables
| Author | : | |
| Rating | : | 4.68 (797 Votes) |
| Asin | : | 0470028424 |
| Format Type | : | paperback |
| Number of Pages | : | 322 Pages |
| Publish Date | : | 2013-12-07 |
| Language | : | English |
DESCRIPTION:
E. Nunez said Multivariable Model Buildingby Patrick Royston, and Willi Sauerbrei. Multivariable Model - Building: A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables (Wiley Series in Probability and Statistics) is a textbook appropriate for clinical trialist and researchers in biomedical science, who are engaged in a daily basis in building multivariable prognostic models. While a number of texts exist for these audiences, this textbook was written at a more accessible level for those without any advanced statistical knowledge.The book begins laying the groundwork for model building as well as underlying th. "Opinion from a MD" according to Hugo Fontan Kohler. I do believe this is the book statistical book I've ever read. Although a physician by formation, I started enjoying medical statistics since the end of college graduation. This book allowed me to better understand clinical models and to develop my own. I recommend it to anyone with interest in medical research.
This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models.. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. 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. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed
It is the first time that a book is devoted to the whole breadth of application of fractional polynomials. The authors are the experts on this useful methodology." (Statistics in Medicine, Feb 2009). “This new approach, developed in part by the authors over the 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 can also be recommended for teaching purposes.” (Biometrical Journal, July 2009) “It is an excellent book on multivariable model-building, presenting the material in an easy-to-understand and informal style.” (Mathematical Reviews, 2009)"This excellent book fills a gap in the current literature on statistical modelli
He has authored many research papers in biostatistics and has published over 100 articles in leading statistical and clinical journals. 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. Patrick is an experienc