logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Multivariable Analysis A Practical Guide For Clinicians And Public Health Researchers 3ed Mitchell H Katz

  • SKU: BELL-2630576
Multivariable Analysis A Practical Guide For Clinicians And Public Health Researchers 3ed Mitchell H Katz
$ 31.00 $ 45.00 (-31%)

5.0

98 reviews

Multivariable Analysis A Practical Guide For Clinicians And Public Health Researchers 3ed Mitchell H Katz instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 1.53 MB
Pages: 251
Author: Mitchell H Katz
ISBN: 9781139082471, 1139082477
Language: English
Year: 2011
Edition: 3ed.

Product desciption

Multivariable Analysis A Practical Guide For Clinicians And Public Health Researchers 3ed Mitchell H Katz by Mitchell H Katz 9781139082471, 1139082477 instant download after payment.

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 analysis; 4 Independent variables in multivariable analysis; 5 Relationship of independent variables to one another; 6 Setting up a multivariable analysis; 7 Performing the analysis; 8 Interpreting the results; 9 Delving deeper: Checking the underlying assumptions of the analysis; 10 Propensity scores; 11 Correlated observations; 12 Validation of models; 13 Special topics; 14 Publishing your study. 15 Summary: Steps for constructing a multivariable modelIndex

Related Products