Hypertabastic survival model
作者： Mohammad A Tabatabai , Zoran Bursac , David K Williams , Karan P Singh , None
关键词:
摘要: A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. simulation study was carried out evaluate performance of in comparison with popular distributions. We then demonstrate application by applying it data from two motivating studies. The first one demonstrates proportional hazards version a set multiple myeloma study. second an accelerated failure time randomized glioma patients who underwent radiotherapy treatment and without radiosensitizer misonidazole. Based on results applications, proposed shows be flexible promising alternative practitioners this field.
biomedcentral.com
springer.com
tbiomed.com
core.ac.uk参考文章(30)
Joseph Cavanaugh, Survival Analysis: A Self-Learning Text (2nd ed.) Journal of the American Statistical Association. ,vol. 101, pp. 1318- 1319 ,(2006)
Melody S. Goodman, Yi Li, Ram C. Tiwari, Survival Analysis with Change Point Hazard Functions ,(2006)
Demetrio Tamiolakis, John Venizelos, Maria Lambropoulou, Silva Nikolaidou, Sophia Bolioti, Maria Tsiapali, Dionysios Verettas, Panagiotis Tsikouras, Athanasios Chatzimichail, Nikolas Papadopoulos, Human embryonal epithelial cells of the developing small intestinal crypts can express the Hodgkin-cell associated antigen Ki-1 (CD30) in spontaneous abortions during the first trimester of gestation Theoretical Biology and Medical Modelling. ,vol. 2, pp. 1- 6 ,(2005) , 10.1186/1742-4682-2-1
David R. Cox, Regression Models and Life-Tables Springer Series in Statistics. ,vol. 34, pp. 527- 541 ,(1992) , 10.1007/978-1-4612-4380-9_37
Mohammad Tabatabai, David Williams, Zoran Bursac, Hyperbolastic growth models: theory and application Theoretical Biology and Medical Modelling. ,vol. 2, pp. 14- 14 ,(2005) , 10.1186/1742-4682-2-14
Romano Demicheli, Gianni Bonadonna, William JM Hrushesky, Michael W Retsky, Pinuccia Valagussa, Menopausal status dependence of the timing of breast cancer recurrence after surgical removal of the primary tumour Breast Cancer Research. ,vol. 6, pp. 1- 8 ,(2004) , 10.1186/BCR937
Alessandra Nardi, Michael Schemper, New residuals for Cox regression and their application to outlier screening. Biometrics. ,vol. 55, pp. 523- 529 ,(1999) , 10.1111/J.0006-341X.1999.00523.X
John M. Krall, Vincent A. Uthoff, John B. Harley, A Step-up Procedure for Selecting Variables Associated with Survival Biometrics. ,vol. 31, pp. 49- 57 ,(1975) , 10.2307/2529709
J. S. Weitz, H. B. Fraser, Explaining mortality rate plateaus Proceedings of the National Academy of Sciences of the United States of America. ,vol. 98, pp. 15383- 15386 ,(2001) , 10.1073/PNAS.261228098
Bradley Efron, The Efficiency of Cox's Likelihood Function for Censored Data Journal of the American Statistical Association. ,vol. 72, pp. 557- 565 ,(1977) , 10.1080/01621459.1977.10480613