Abstract:
:In this paper, we construct a partial additive regression (PAR) model to predict the survival times of cancer patients based on microarray gene expression data with right censoring. The area under time-dependent receiver operating characteristic curve is used as a model evaluation criterion. We conduct a simulation study to compare the proposed method with other methods, i.e. partial Cox regression and supervised principal component analysis. Two data sets of breast cancer and diffuse large B-cell lymphoma are analyzed to illustrate our procedure. The outcome indicates great predictive performance on both dimension reduction and predictive performance of the proposed PAR model.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Zhao Y,Zhou Y,Zhao Mdoi
10.1002/sim.3412subject
Has Abstractpub_date
2009-01-30 00:00:00pages
181-93issue
2eissn
0277-6715issn
1097-0258journal_volume
28pub_type
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