A case-cohort design for epidemiologic cohort studies and disease prevention trials
Clicks: 4
ID: 294515
1986
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
0.9
/100
4 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #29 of 188 articles by views in jurnal biometrika dan kependudukan
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 188 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Suppose that a cohort of individuals is to be followed in order to relate failure rates to preceding covariate histories. A design is proposed which involves covariate data only for cases experiencing failure and for members of a randomly selected ubcohort. Odds ratio and relative risk estimation procedures are presented for such a ‘case-cohort’ design. A small simulation study compares ease-cohort relative risk estimation procedures to full-cohort and synthetic case-control analyses. Relevance to epidemiologic cohort studies and disease prevention trials is discussed.
| Reference Key |
openalex_W2053301665
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ross L. Prentice |
| Journal | jurnal biometrika dan kependudukan |
| Year | 1986 |
| DOI |
10.1093/biomet/73.1.1
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.