Author: Mitchell H. Katz
Edition: 2
Publisher: Cambridge University Press
Binding: Paperback
ISBN: 052154985X
Multivariable Analysis: A Practical Guide for Clinicians
This new edition has been fully revised to build on the enormous success of its popular predecessor. Medical books Multivariable Analysis. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis Medical books An Introduction to Multivariable Analysis from Vector to Manifold. Categories: Multivariate analysis. Contributors: Piotr Mikusinski - Author. Format: Paperback
Download link for Multivariable Analysis
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
Categories: Medicine->Research->Statistical methods, Multivariate analysis, Medical statistics. Contributors: Mitchell H. Katz - Author. Format: Paperback
Medical Book Multivariable Analysis
It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis.
