Showing posts with label Multivariable. Show all posts
Showing posts with label Multivariable. Show all posts
Thursday, February 24, 2011

Multivariable Model - Building

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

John Wiley And Sons Ltd | 2008 | 322 pages | ISBN-13: 9780470028421 | ISBN-10: 0470028424 | You save 10%



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.

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Wednesday, October 20, 2010

Multivariable Analysis Epub

Multivariable Analysis



Author: Mitchell H. Katz
Edition: 3
Publisher: Cambridge University Press
Binding: Paperback
ISBN: 0521141079



Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers


Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. Medical books Multivariable Analysis. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models Medical books An Introduction to Multivariable Analysis from Vector to Manifold. Categories: Multivariate analysis. Contributors: Piotr Mikusinski - Author. Format: Paperback

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Categories: Multivariate analysis. Contributors: Piotr Mikusinski - Author. Format: Paperback

Categories: Medicine->Research->Statistical methods, Multivariate analysis, Medical statistics. Contributors: Mitchell H. Katz - Author. Format: Paperback

Categories: Medicine->Research->Statistical methods, Multivariate analysis, Medical statistics. Contributors: Mitchell H. Katz - Author. Format: Paperback

This book provides a rigorous treatment of multivariable differential and integral calculus. Implicit function theorem and the inverse function theorem based on total derivatives is explained along with the results and the connection to solving systems of equations. There is an extensive treatment of extrema, including constrained extrema and Lagrange multipliers, covering both first order necessary conditions and second order sufficient conditions. The material on Riemann integration in n dimensions, being delicate by its very nature, is discussed in detail. Differential forms and the general



Medical Book Multivariable Analysis



As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research.

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