Concepts in cancer survival analysis: Research questions, data, and models

References 

1. Harrell FE. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. New York: Springer; 2001;
2. Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. New York: Springer; 2009;
3. Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94:496–509
4. Wolbers M, Koller MT, Witteman JC, Steyerberg EW. Prognostic models with competing risks: methods and application to coronary risk prediction. Epidemiology. 2009;20(4):555–561
   • CrossRef
5. Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med. 2007;26(11):2389–2430
   • MEDLINE
   • CrossRef
6. Martinussen T, Scheike TH. Dynamic regression models for survival data. New York, N.Y: Springer; 2006;