Variable selection for semiparametric accelerated failure time models with nonignorable missing data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42952-023-00238-z.pdf
Reference48 articles.
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2. Buckley, J., & James, I. (1979). Linear regression with censored data. Biometrika, 66(3), 429–436.
3. Cai, T., Huang, J., & Tian, L. (2009). Regularized estimation for the accelerated failure time model. Biometrics, 65(2), 394–404.
4. Ding, Y., & Nan, B. (2011). A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data. The Annals of Statistics, 39(6), 3032–3061.
5. Fan, J., & Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96, 1348–1360.
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