Applying Cox Regression to Competing Risks
Clicks: 2
ID: 300544
1995
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
0.3
/100
2 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #214 of 238 articles by views in biometrics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 238 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
Two methods are given for the joint estimation of parameters in models for competing risks in survival analysis. In both cases Cox's proportional hazards regression model is fitted using a data duplication method. In principle either method can be used for any number of different failure types, assuming independent risks. Advantages of the augmented data approach are that it limits over-parametrisation and it runs immediately on existing software. The methods are used to reanalyse data from two well-known published studies, providing new insights.
| Reference Key |
openalex_W2073023604
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Mary Lunn, Don McNeil |
| Journal | biometrics |
| Year | 1995 |
| DOI |
10.2307/2532940
|
| 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.