Modelling cause‐specific hazards with radial basis function artificial neural networks: application to 2233 breast cancer patients
暂无分享,去创建一个
[1] E Biganzoli,et al. Time-dependent relevance of steroid receptors in breast cancer. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[2] H. Heinzl,et al. Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions. , 1997, Computer methods and programs in biomedicine.
[3] R. Gray. Hazard Rate Regression Using Ordinary Nonparametric Regression Smoothers , 1996 .
[4] Murray Aitkin,et al. A Reanalysis of the Stanford Heart Transplant Data , 1983 .
[5] M H Pejovic,et al. A method of analysis taking into account competing events: application to the study of digestive complications following irradiation for cervical cancer. , 1987, Statistics in medicine.
[6] J P Klein,et al. Semiparametric Marshall-Olkin models applied to the occurrence of metastases at multiple sites after breast cancer. , 1989, Biometrics.
[7] M. Stone. An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's Criterion , 1977 .
[8] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[9] Brian D. Ripley,et al. Pattern Recognition and Neural Networks , 1996 .
[10] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[11] E Biganzoli,et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. , 1998, Statistics in medicine.
[12] H. Heinzl,et al. Assessing interactions of binary time-dependent covariates with time in cox proportional hazards regression models using cubic spline functions. , 1996, Statistics in medicine.
[13] E Marubini,et al. Local recurrences and distant metastases after conservative breast cancer treatments: partly independent events. , 1995, Journal of the National Cancer Institute.
[14] F E Harrell,et al. The restricted cubic spline as baseline hazard in the proportional hazards model with step function time-dependent covariables. , 1995, Statistics in medicine.
[15] D Machin,et al. Competing risks analysis of patients with osteosarcoma: a comparison of four different approaches , 2001, Statistics in medicine.
[16] P. Andersen,et al. Multivariate competing risks. , 1999, Statistics in medicine.
[17] Trevor Hastie,et al. Statistical Models in S , 1991 .
[18] John Hinde,et al. Statistical Modelling in GLIM. , 1989 .
[19] David A. Schoenfeld,et al. Partial residuals for the proportional hazards regression model , 1982 .
[20] M Lunn,et al. Applying Cox regression to competing risks. , 1995, Biometrics.
[21] M. Larson,et al. Covariate analysis of competing-risks data with log-linear models. , 1984, Biometrics.
[22] J. Crowley,et al. Analyzing survival data from clinical trials and observational studies , 1996 .