Method brings less bias and more efficient estimates for AFT models.
|Depends:||emplik, mvtnorm, quadprog, survival, boot|
Hasinur Rahaman Khan and Ewart Shaw Maintainer: Hasinur Rahaman Khan <[email protected]>
Efron, B. (1967). The two sample problem with censored data. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, Vol. 4, p. 831-853.
Jin et al. (2006). On least-squares regression with censored data. Biometrika, 93 (1), 147-161.
Khan and Shaw. (2013a). On Dealing with Censored Largest Observations under Weighted Least Squares. CRiSM working paper, Department of Statistics, University of Warwick, UK, No. 13-07. Also available in http://arxiv.org/abs/1312.2533.
Khan and Shaw (2013b). Variable Selection with The Modified Buckley-James Method and The Dantzig Selector for High-dimensional Survival Data. Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong, p. 4239-4244.
Stute, W. (1993). Consistent estimation under random censorship when covariables are available. Journal of Multivariate Analysis, 45 , 89-103.
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