Prognostic Model for Predicting Survival in Non Small Cell Lung Cancer Patients

Citation:

Download the fitted Coxph model (Wang et al nomogram) in R

An R object "fit" is contained in the RData file, which is generated by the coxph function.



Citation:

1. Hoang, T., Xu, R., Schiller, J.H., Bonomi, P. and Johnson, D.H. (2005) Clinical model to predict survival in chemonaive patients with advanced non-small-cell lung cancer treated with third-generation chemotherapy regimens based on eastern cooperative oncology group data. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 23, 175-183.

2. Paesmans, M., Sculier, J.P., Libert, P., Bureau, G., Dabouis, G., Thiriaux, J., Michel, J., Van Cutsem, O., Sergysels, R., Mommen, P. et al. (1995) Prognostic factors for survival in advanced non-small-cell lung cancer: univariate and multivariate analyses including recursive partitioning and amalgamation algorithms in 1,052 patients. The European Lung Cancer Working Party. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 13, 1221-1230.

3. Albain, K.S., Crowley, J.J., LeBlanc, M. and Livingston, R.B. (1991) Survival determinants in extensive-stage non-small-cell lung cancer: the Southwest Oncology Group experience. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 9, 1618-1626.

4. Finkelstein, D.M., Ettinger, D.S. and Ruckdeschel, J.C. (1986) Long-term survivors in metastatic non-small-cell lung cancer: an Eastern Cooperative Oncology Group Study. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 4, 702-709.