In the presence of covariates information, assuming the linear relationship between a transformation of survival time and covariates, we propose a new estimator of survival function and show its consistency. In addition, a comparison of the proposed estimator with the product-limit estimator introduced by Kaplan and Meier (1958) is performed through Monte Carlo simulation studies. We illustrate the proposed estimator with the updated Stanford heart transplant data.
CITATION STYLE
Dehghan, M. H., & Duchesne, T. (2000). Estimation of the average survival function using a censored data regression model. Lifetime Data Analysis, 6(2), 73–84. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/10763562
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