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