Explained Variation in Proportional Hazards Regression

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DOI: 10.1201/9781420027761-27

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参考文章(24)
Daniel J. Sargent, A Flexible Approach to Time-varying Coefficients in the Cox Regression Setting Lifetime Data Analysis. ,vol. 3, pp. 13- 25 ,(1997) , 10.1023/A:1009612117342
Paul Gustafson, Flexible Bayesian modelling for survival data Lifetime Data Analysis. ,vol. 4, pp. 281- 299 ,(1998) , 10.1023/A:1009673932333
, EMIL J FREIREICH, EDMUND GEHAN, EMIL FREI, LESLIE R. SCHROEDER, IRVING J. WOLMAN, RACHAD ANBARI, E. OMAR BURGERT, STEPHEN D. MILLS, DONALD PINKEL, OLEG S. SELAWRY, JOHN H. MOON, B. R. GENDEL, CHARLES L. SPURR, ROBERT STORRS, FARID HAURANI, BARTH HOOGSTRATEN, STANLEY LEE, The Effect of 6-Mercaptopurine on the Duration of Steroid-induced Remissions in Acute Leukemia: A Model for Evaluation of Other Potentially Useful Therapy Blood. ,vol. 21, pp. 699- 716 ,(1963) , 10.1182/BLOOD.V21.6.699.699
J. O'Quigley, P. Flandre, Predictive capability of proportional hazards regression. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 91, pp. 2310- 2314 ,(1994) , 10.1073/PNAS.91.6.2310
Edward L. Korn, Richard Simon, Measures of explained variation for survival data. Statistics in Medicine. ,vol. 9, pp. 487- 503 ,(1990) , 10.1002/SIM.4780090503
John O'Quigley, Philippe Flandre, Ethan Reiner, Large sample theory for Schemper's measures of explained variation in the Cox regression model The Statistician. ,vol. 48, pp. 53- 62 ,(1999) , 10.1111/1467-9884.00170
DAVID SCHOENFELD, Partial residuals for the proportional hazards regression model Biometrika. ,vol. 69, pp. 239- 241 ,(1982) , 10.1093/BIOMET/69.1.239
P. K. Andersen, R. D. Gill, Cox's Regression Model for Counting Processes: A Large Sample Study Annals of Statistics. ,vol. 10, pp. 1100- 1120 ,(1982) , 10.1214/AOS/1176345976
JOHN T. KENT, JOHN O'QUIGLEY, Measures of dependence for censored survival data Biometrika. ,vol. 75, pp. 525- 534 ,(1988) , 10.1093/BIOMET/75.3.525
Michael Schemper, Alexandra Kaider, A new approach to estimate correlation coefficients in the presence of censoring and proportional hazards Computational Statistics & Data Analysis. ,vol. 23, pp. 467- 476 ,(1997) , 10.1016/S0167-9473(96)00045-X