Statistical Methods for Conditional Survival Analysis.


Journal Article (Review)

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.

Full Text

Duke Authors

Cited Authors

  • Jung, S-H; Lee, HY; Chow, S-C

Published Date

  • 2018

Published In

Volume / Issue

  • 28 / 5

Start / End Page

  • 927 - 938

PubMed ID

  • 29185865

Pubmed Central ID

  • 29185865

Electronic International Standard Serial Number (EISSN)

  • 1520-5711

Digital Object Identifier (DOI)

  • 10.1080/10543406.2017.1405012


  • eng

Conference Location

  • England