Sample Training Data for the Iterative BMA Algorithm for Survival Analysis

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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.

Usage

1

Format

The vector is called trainCens.

Source

Full dataset: http://llmpp.nih.gov/DLBCL/.

References

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.