Correlated Survival Data
Abstract
The previous chapters mostly involve univariate survival analysis, where each participant in a trial contributes one time-to-event outcome, and it is assumed that the participants behave independently. This chapter briefly discusses the analysis of multivariate survival data, which may be correlated and are all subject to independent censoring. Marginal analysis, frailty, and copula modeling for dependent time-toevent variables are discussed, as well as bivariate dependence measures.
Fields of Study & Subjects
Statistical Distribution Estimation and Applications
Statistical Methods and Inference
Probability and Statistical Research
Publication details
- Journal / source
- Chapman & Hall/CRC eBooks
- Pages
- 276–294
- Publication date
- 12 March 2026
- Language
- EN
- Document type
- Book chapter