Flexible Modelling in Survival Analysis. Structuring Biological Complexity from the Information Provided by Tumor Markers
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E Biganzoli | P Boracchi | E Marubini | M G Daidone | M Gion | M. Daidone | E. Biganzoli | P. Boracchi | E. Marubini | M. Gión
[1] Brian D. Ripley,et al. Statistical Ideas for Selecting Network Architectures , 1995, SNN Symposium on Neural Networks.
[2] E. Biganzoli,et al. Impact of Steroid Receptors, pS2 and Cathepsin D on the Outcome of N+ Postmenopausal Breast Cancer Patients Treated with Tamoxifen , 1998, The International journal of biological markers.
[3] P. J. Verweij,et al. Penalized likelihood in Cox regression. , 1994, Statistics in medicine.
[4] U. Veronesi,et al. Validation of p53 accumulation as a predictor of distant metastasis at 10 years of follow-up in 1400 node-negative breast cancers. , 1996, Clinical cancer research : an official journal of the American Association for Cancer Research.
[5] A Morabito,et al. Prognostic factors and risk groups: some results given by using an algorithm suitable for censored survival data. , 1983, Statistics in medicine.
[6] R. Simon,et al. A simulation study of cross-validation for selecting an optimal cutpoint in univariate survival analysis. , 1996, Statistics in medicine.
[7] Daniel B. Mark,et al. TUTORIAL IN BIOSTATISTICS MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS , 1996 .
[8] Charles Kooperberg,et al. Trees and splines in survival analysis , 1995, Statistical methods in medical research.
[9] P. Grambsch,et al. Martingale-based residuals for survival models , 1990 .
[10] C. Hill. Valeur pronostique d'une variable continue et point de césure optimal. , 1993 .
[11] R. Simon,et al. Flexible regression models with cubic splines. , 1989, Statistics in medicine.
[12] D Faraggi,et al. A neural network model for survival data. , 1995, Statistics in medicine.
[13] L. Mariani,et al. Clinically Useful Measures to Assess the Effectiveness of Treatments: Hints for a Proper Choice with Special Emphasis on Cancer Research , 1990, Tumori.
[14] K. Liestøl,et al. Survival analysis and neural nets. , 1994, Statistics in medicine.
[15] B. Efron. Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve , 1988 .
[16] W. Catalona,et al. Artificial neural networks in the diagnosis and prognosis of prostate cancer: a pilot study. , 1994, The Journal of urology.
[17] E Biganzoli,et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. , 1998, Statistics in medicine.
[18] P. J. Verweij,et al. Cross-validation in survival analysis. , 1993, Statistics in medicine.
[19] J. Neijt,et al. Predictability of the survival of patients with advanced ovarian cancer. , 1989, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[20] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[21] D. Coradini,et al. Effect of steroid receptors, pS2 and cathepsin D on the outcome of elderly breast cancer patients: An exploratory investigation , 1998, International journal of cancer.
[22] R Simon,et al. Measures of explained variation for survival data. , 1990, Statistics in medicine.
[23] F. Harrell,et al. Regression modelling strategies for improved prognostic prediction. , 1984, Statistics in medicine.
[24] M. Barbareschi,et al. Tumor angiogenesis predicts clinical outcome of node-positive breast cancer patients treated with adjuvant hormone therapy or chemotherapy. , 1995, The cancer journal from Scientific American.
[25] E Biganzoli,et al. Vascular integrin alpha(v)beta3: a new prognostic indicator in breast cancer. , 1998, Clinical cancer research : an official journal of the American Association for Cancer Research.
[26] H. Burke,et al. Artificial neural networks for cancer research: outcome prediction. , 1994, Seminars in surgical oncology.
[27] H. Kappen,et al. Neural network analysis to predict treatment outcome , 1993 .
[28] M. Fernö,et al. Indicators of prognosis in node-negative breast cancer. , 1990, The New England journal of medicine.