Pseudo-observations in survival analysis

作者: Per Kragh Andersen , Maja Pohar Perme

DOI: 10.1177/0962280209105020

关键词:

摘要: … We will restrict attention to the class of generalised linear models where, for a given link … eg regression models for correlation coefficients or for variance parameters in linear models may …

参考文章(25)
James Franklin, The elements of statistical learning : data mining, inference,and prediction The Mathematical Intelligencer. ,vol. 27, pp. 83- 85 ,(2005) , 10.1007/BF02985802
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
RUPERT G. MILLER, The jackknife-a review Biometrika. ,vol. 61, pp. 1- 15 ,(1974) , 10.1093/BIOMET/61.1.1
John P. Klein, Brent Logan, Mette Harhoff, Per Kragh Andersen, Analyzing survival curves at a fixed point in time Statistics in Medicine. ,vol. 26, pp. 4505- 4519 ,(2007) , 10.1002/SIM.2864
WINFRIED STUTE, JANE-LING WANG, The jackknife estimate of a Kaplan-Meier integral Biometrika. ,vol. 81, pp. 602- 606 ,(1994) , 10.1093/BIOMET/81.3.602
Jason P. Fine, Robert J. Gray, A Proportional Hazards Model for the Subdistribution of a Competing Risk Journal of the American Statistical Association. ,vol. 94, pp. 496- 509 ,(1999) , 10.1080/01621459.1999.10474144
D. Y. LIN, Z. YING, Semiparametric analysis of the additive risk model Biometrika. ,vol. 81, pp. 61- 71 ,(1994) , 10.1093/BIOMET/81.1.61
Frederik Graw, Thomas A. Gerds, Martin Schumacher, On pseudo-values for regression analysis in competing risks models. Lifetime Data Analysis. ,vol. 15, pp. 241- 255 ,(2009) , 10.1007/S10985-008-9107-Z