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

Interpreting Epidemiologic Evidence Strategies For Study Design And Analysis David A Savitz

  • SKU: BELL-4103214
Interpreting Epidemiologic Evidence Strategies For Study Design And Analysis David A Savitz
$ 31.00 $ 45.00 (-31%)

4.7

16 reviews

Interpreting Epidemiologic Evidence Strategies For Study Design And Analysis David A Savitz instant download after payment.

Publisher: Oxford University Press
File Extension: PDF
File size: 2.97 MB
Pages: 329
Author: David A Savitz
ISBN: 9780195108408, 019510840X
Language: English
Year: 2003

Product desciption

Interpreting Epidemiologic Evidence Strategies For Study Design And Analysis David A Savitz by David A Savitz 9780195108408, 019510840X instant download after payment.

Evaluating the strength or persuasiveness of epidemiologic evidence is inherently challenging, both for those new to the field and for experienced researchers. There are a myriad of potential biases to consider, but little guidance about how to asses the likely impact on study results. This book offers a strategy for assessing epidemiologic research findings, explicitly describing the goals and products of epidemiologic research in order to better evaluate it successes and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated. Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, confounding, exposure measurement error, disease measurement error, and random error are identified and evaluated. The potential value of each approach as well as its limitations are discussed, using examples from the published literature. Such information should help those who generate and interpret epidemiologic research to apply methodological principles more effectively to substantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs

Related Products