Professor LAILA TATA laila.tata@nottingham.ac.uk
PROFESSOR OF EPIDEMIOLOGY
How to read a cohort study
Tata, Laila J.
Authors
Contributors
Nicholas J. Talley
Editor
G. Richard Locke III
Editor
Paul Moayyedi
Editor
Professor JOE WEST JOE.WEST@NOTTINGHAM.AC.UK
Editor
Yuri A. Saito
Editor
Abstract
The cohort is the basis of all epidemiologic study designs as it is the closest way to study the natural progression of people's life course over which the temporal relationship between exposures and outcomes can be assessed. Although a cohort is defined as a specified group of people followed over a certain period of time, cohort studies are often used to compare the occurrence of health outcomes between groups of people with and without certain exposures or between groups with different levels of exposure. In this chapter, cohort design, analysis, and interpretation are described and summarized using a 10-point checklist of important issues to consider when reading a cohort study. This includes the potential impacts of selection bias, ascertainment bias, follow-up bias and the need to consider confounding and chance. Good understanding of cohort design provides the foundation for appraising all study designs in particular experimental trials.
Citation
Tata, L. J. (2014). How to read a cohort study. In N. J. Talley, G. Richard Locke III, P. Moayyedi, J. West, & Y. A. Saito (Eds.), GI Epidemiology: Diseases and Clinical Methodology (15-29). (Second). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118727072.ch2
Online Publication Date | Jan 10, 2014 |
---|---|
Publication Date | Feb 6, 2014 |
Deposit Date | Mar 7, 2023 |
Pages | 15-29 |
Edition | Second |
Book Title | GI Epidemiology: Diseases and Clinical Methodology |
Chapter Number | 2 |
ISBN | 9780470672570 |
DOI | https://doi.org/10.1002/9781118727072.ch2 |
Keywords | epidemiology; study design; observational study; cohort study; selection bias; ascertainment bias; loss to follow-up; survival curves; time-varying exposures; aspirin; colorectal cancer |
Public URL | https://nottingham-repository.worktribe.com/output/16802591 |
Publisher URL | https://onlinelibrary.wiley.com/doi/10.1002/9781118727072.ch2 |
You might also like
Short-Term Risk of Cardiovascular Events in People Newly Diagnosed With Gout
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search