期刊
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
卷 28, 期 5, 页码 927-938出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/10543406.2017.1405012
关键词
Delta method; Fieller method; Kaplan-Meier estimator; Log-rank test; Martingale central limit theorem; Proportional hazards model
资金
- National Cancer Institute [CA142538-01]
We investigate the survival distribution of the patients who have survived over a certain time period. This is called a conditional survival distribution. In this paper, we show that one-sample estimation, two-sample comparison and regression analysis of conditional survival distributions can be conducted using the regular methods for unconditional survival distributions that are provided by the standard statistical software, such as SAS and SPSS. We conduct extensive simulations to evaluate the finite sample property of these conditional survival analysis methods. We illustrate these methods with real clinical data.
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