Experiments to Determine Whether Recursive Partitioning (CART) or an Artificial Neural Network Overcomes Theoretical Limitations of Cox Proportional Hazards Regression

Computers and Biomedical Research - Tập 31 - Trang 363-373 - 1998
Michael W. Kattan1,2, Kenneth R. Hess3, J.Robert Beck2
1Scott Department of Urology, Baylor College of Medicine, Houston, Texas
2Information Technology Program, Baylor College of Medicine, Houston, Texas
3Department of Biomathematics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, 77030

Tài liệu tham khảo

Shortliffe, 1990 Kattan, 1995, Artificial neural networks for medical classification decisions, Arch. Pathol. Lab. Med., 119, 672 Breiman, 1984 Kattan, 1996, Computer modeling in urology. Urology, 47, 14 Kattan, 1997, Evaluation of a nomogram for predicting pathological stage of men with clinically localized prostrate cancer, Cancer, 79, 528, 10.1002/(SICI)1097-0142(19970201)79:3<528::AID-CNCR15>3.0.CO;2-5 Harrell, 1966, Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Stat. Med., 15, 361, 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4 Marubini, 1995 Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359, 10.1016/0893-6080(89)90020-8 Therneau, 1990, Martingale-based residuals for survival models, Biometrika, 77, 147, 10.1093/biomet/77.1.147 Intrator, O. Kooperberg, C. Trees and Splines in Survival Analysis, 275, 1, 24, Department of Statistics, Univ. of Washington, Seattle, 1995 Ciampi, 1986, Stratification by stepwise regression, correspondence analysis and recursive partition: A comparison of three methods of analysis for survival data with covariates, Comput. Stats. Data Anal., 4, 185, 10.1016/0167-9473(86)90033-2 Takigawa, 1996, Prognostic factors for patients with advanced non-small cell lung cancer: Univariate and multivariate analyses including recursive partitioning and amalgamation, Lung Cancer, 15, 67, 10.1016/0169-5002(96)00571-5 Paesmans, 1995, Prognostic factors for survival in advanced non-small-cell lung cancer: Univariate and multivariate analyses including recursive partitioning and amalgamation algorithms in 1,052 patients, J. Clin. Oncol., 13, 1221, 10.1200/JCO.1995.13.5.1221 Carmelli, 1991, 27-year mortality in the Western Collaborative Group Study: Construction of risk groups by recursive partitioning, J. Clin. Epidemiol., 44, 1341, 10.1016/0895-4356(91)90095-Q Schmoor, 1993, Comparison of the Cox model and the regression tree procedure in analysing a randomized clinical trial, Stat. Med., 12, 2351, 10.1002/sim.4780122411 Hermanek, 1994, Classification and regression trees (CART) for estimation of prognosis in patients with gastric carcinoma, J. Cancer Res. Clin. Oncol., 120, 309, 10.1007/BF01236389 Simpson, 1990 Harrell, 1982, Evaluating the yield of medical tests, JAMA, 247, 2543, 10.1001/jama.1982.03320430047030 Harrell, 1997 Gehan, 1965, A generalized Wilcoxon test for comparing arbitrarily singly-censored samples, Biometrika, 52, 203, 10.1093/biomet/52.1-2.203 Fleming, 1991 Kappen, 1993, Neural network analysis to predict treatment outcome, Ann. Oncol., 4, S31, 10.1093/annonc/4.suppl_4.S31 Laurentiis, 1994, A technique for using neural network analysis to perform survival analysis of censored data, Cancer Lett., 77, 127, 10.1016/0304-3835(94)90095-7 Faraggi, 1995, A neural network model for survival data, Stat. Med., 14, 73, 10.1002/sim.4780140108 Ohno-Machado, 1997, A comparison of Cox proportional hazards and artificial neural network models for medical prognosis, Comput. Biol. Med., 27, 55, 10.1016/S0010-4825(96)00036-4 Lapuerta, 1995, Use of neural networks in predicting the risk of coronary artery disease, Comput. Biomed. Res., 28, 38, 10.1006/cbmr.1995.1004 Burke, 1997, Artificial neural networks improved the accuracy of cancer survival prediction, Cancer, 79, 857, 10.1002/(SICI)1097-0142(19970215)79:4<857::AID-CNCR24>3.0.CO;2-Y