effect of using bias-corrected estimators in logistic regression model in small samples: prostate-specific antigen (psa) data
Clicks: 271
ID: 193341
2006
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
Popular Article
30.0
/100
271 views
52 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #132 of 292 articles by views in Proceedings of the National Academy of Sciences of the United States of America
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 292 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
This study investigates the effect of bias-corrected estimators in analyzing real-world skewed data where categorization and transformation are necessary. It also reports a small-scale simulation study to indicate factors which can influence the bias correction to be small or large. For the complete data-set, it is observed that the maximum likelihood estimates and Schaefer's bias-corrected estimates are not greatly different. However, when the original sample size is reduced by about 50%, the difference between the estimates is found to be much larger, possibly even large enough to influence the conclusions drawn. The impact of transformation and categorization is visibly present. However, the broad impression gained in categorization is the same though difference in types of categorizations can not be overlooked. A factor which seems to influence the size of the bias correction is identified.
| Reference Key |
matin2006dataeffect
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;M A Matin |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Year | 2006 |
| DOI |
10.2481/dsj.5.100
|
| URL | |
| Keywords |
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.