SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Statistical Methods in Medical Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Prentice, R. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Prentice, R. L.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Design issues in cohort studies

Ross L. Prentice

Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

Some basic features of cohort studies are reviewed along with a brief discussion of relative risk estimation procedures. This background, and a discussion of factors influencing cohort study power, provides a context to examine various cohort study design choices, including the choice of study population, the selection of cohort size and follow-up duration, cohort ascertainment and subsampling choices, and decisions concerning validation and reliability substudies. It is noted that confounding issues, and especially issues related to measurement error in the assessment of primary exposure and confounding variables, may have a major influence on the precision and reliability of cohort study analyses. A brief discussion is provided of the role of cohort studies in relation to other observational and experimental research strategies.

Statistical Methods in Medical Research, Vol. 4, No. 4, 273-292 (1995)
DOI: 10.1177/096228029500400402


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Sociological Methods ResearchHome page
K. E. North and L. J. Martin
The Importance of Gene--Environment Interaction: Implications for Social Scientists
Sociological Methods Research, November 1, 2008; 37(2): 164 - 200.
[Abstract] [PDF]


Home page
Epidemiol RevHome page
G. A. Kaplan
What's Wrong with Social Epidemiology, and How Can We Make It Better?
Epidemiol. Rev., July 1, 2004; 26(1): 124 - 135.
[Full Text] [PDF]


Home page
Stat Methods Med ResHome page
D. A Bennett
Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis
Statistical Methods in Medical Research, August 1, 2003; 12(4): 297 - 319.
[Abstract] [PDF]



Advertisement