Ontology highlight
ABSTRACT:
SUBMITTER: Ojeda FM
PROVIDER: S-EPMC4996851 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature
Ojeda Francisco M FM Müller Christian C Börnigen Daniela D Trégouët David-Alexandre DA Schillert Arne A Heinig Matthias M Zeller Tanja T Schnabel Renate B RB
Genomics, proteomics & bioinformatics 20160517 4
Prognostic models based on survival data frequently make use of the Cox proportional hazards model. Developing reliable Cox models with few events relative to the number of predictors can be challenging, even in low-dimensional datasets, with a much larger number of observations than variables. In such a setting we examined the performance of methods used to estimate a Cox model, including (i) full model using all available predictors and estimated by standard techniques, (ii) backward eliminati ...[more]