๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions

โœ Scribed by Harald Heinzl; Alexandra Kaider


Book ID
114175646
Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
644 KB
Volume
54
Category
Article
ISSN
0169-2607

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


ASSESSING INTERACTIONS OF BINARY TIME-DE
โœ HARALD HEINZL; ALEXANDRA KAIDER; GERHARD ZLABINGER ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 726 KB

The Cox proportional hazards model is the most popular model for the analysis of survival data. Time-dependent covariates can be included in a straightforward manner. In most cases such covariates will be binary, indicating some form of changing group membership, with individuals starting in group 0

A comparison of the logistic regression
โœ Sunao Moriguchi; Yoshio Hayashi; Yoshiaki Nose; Yoshihiko Maehara; Daisuke Koren ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 396 KB

To define the independent prognostic factors reducing survival time for gastric cancer, we compared the logistic regression and the Cox proportional hazard models applied to patients who underwent curative gastrectomy. All patients were evaluated after being followed for long fixed periods. Of 1,019