References
- Fleming, T. R., Harrington, D. P. (1981). A class of hypothesis tests for one and two samples censored survival data. Communications in Statistics 10:763–794.
- Gehan, E. A. (1965). A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika 52(1–2):203–223.
- Klein, J. P., Moeschberger, M. L. (2003). Survival Analysis Techniques for Censored and Truncated Data. 2th ed. New York: Springer.
- Kristiansen, I. S. (2012). PRM39 Survival curve convergences and crossing: A threat tovalidity of meta-analysis. Value in Health 15(7):652.
- Li, H., Han, D., Hou, Y., Chen, H., Chen, Z. (2015). Statistical inference methods for two crossing survival curves: A comparison of methods. PLoS ONE 10(1):e0116774.
- Mantel, N. (1966). Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports 50(3)163–170.
- Qiu, P., Sheng, J. (2008). A two-stage procedure for comparing hazard rate functions. Journal of the Royal Statistical Society, Series B 70(1):191–208.
- Stablein, D. M., Koutrouvelis, I. A. (1985). A two-sample test sensitive to crossing hazards in uncensored and singly censored data. Biometrics 41(3):643–652.
- Tarone, R. E., Ware, J. (1977). On distribution-free tests for equality ofsurvival distributions. Biometrika 64(1):156–160.