Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Statistics and Probability
Reference48 articles.
1. Alvares D, Haneuse S, Lee C, Lee KH (2019) Semicomprisks: an R package for the analysis of independent and cluster-correlated semi-competing risks data. R J 11(1):376
2. Andersen PK, Hansen LS, Keiding N (1991) Non-and semi-parametric estimation of transition probabilities from censored observation of a non-homogeneous Markov process. Scand J Stat 18:153–167
3. Breslow NE, Wellner JA (2007) Weighted likelihood for semiparametric models and two-phase stratified samples, with application to Cox regression. Scand J Stat 34(1):86–102
4. Chastang C, Byar D, Piantadosi S (1988) A quantitative study of the bias in estimating the treatment effect caused by omitting a balanced covariate in survival models. Stat Med 7(12):1243–1255
5. Comment L, Mealli F, Haneuse S, Zigler C (2019) Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks. arXiv preprint arXiv:1902.09304