Causal inference for left-truncated and right-censored data with covariate measurement error
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-020-01152-4.pdf
Reference24 articles.
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3. Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu CM (2006) Measurement error in nonlinear model. Chapman & Hall/CRC, New York
4. Chen K, Jin Z, Ying Z (2002) Semiparametric analysis of transformation models with censored data. Biometrika 89:659–668
5. Chen L-P (2018) Semiparametric estimation for the accelerated failure time model with length-biased sampling and covariate measurement error. Stat 7:e209
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. CHEMIST: an R package for causal inference with high-dimensional error-prone covariates and misclassified treatments;Japanese Journal of Statistics and Data Science;2023-09-30
2. Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates;Journal of Statistical Computation and Simulation;2020-08-07
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