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. As before, it focuses on easy-to-fo
Multivariable analysis : a practical guide for clinicians
โ Scribed by Mitchell H Katz
- Publisher
- Cambridge University Press
- Year
- 2006
- Tongue
- English
- Leaves
- 219
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Focuses on the nuts and bolts of performing research and 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. 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.
โฆ Table of Contents
Content: Introduction --
Common uses of multivariable models --
Outcome variables in multivariable analysis --
Type of independent variables in multivariable analysis --
Assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis --
Relationship of independent variables to one another --
Setting up a multivariable analysis --
Performing the analysis --
Interpreting the analysis --
Checking the assumptions of the analysis --
Propensity scores --
Correlated observations --
Validation of models --
Special topics --
Publishing your study --
Summary: steps for constructing a multivariable model.
Abstract:
๐ SIMILAR VOLUMES
This new edition has been fully revised to build on the enormous success of its popular predecessor. 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 varianc
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. As before, it focuses on easy-to-fo
The third edition of this highly successful text enables clinical researchers to set up, perform and interpret multivariable models. Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Introduction; 2 Common uses of multivariable models; 3 Outcome variables in multivariable an
This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formula