R: Sample Training Data for the Iterative BMA Algorithm for...
trainCens
R Documentation
Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
Description
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002).
This is a vector of censor information for 65 training samples. In this vector,
0 = censored and 1 = uncensored.
Rosenwald, A., Wright, G., Wing, C., Connors, J., Campo, E. et al. (2002).
The Use of Molecular Profiling to Predict Survival After Chemotherapy for Diffuse Large-B-Cell Lymphoma.
The New England Journal of Medicine, 346(25), 1937-1947.