Abstract
We propose new resampling-based approaches to construct asymptotically valid time-simultaneous confidence bands for cumulative hazard functions in multistate Cox models. In particular, we exemplify the methodology in detail for the simple Cox model with time-dependent covariates, where the data may be subject to independent right-censoring or left-truncation. We use simulations to investigate their finite sample behavior. Finally, the methods are utilized to analyze two empirical examples with survival and competing risks data.
| Original language | English |
|---|---|
| Pages (from-to) | 906-916 |
| Number of pages | 11 |
| Journal | Biometrics |
| Volume | 75 |
| Issue number | 3 |
| Early online date | 15 Apr 2019 |
| DOIs | |
| Publication status | Published - Sept 2019 |
Keywords
- Cox regression
- Martingale theory
- competing risks
- counting processes
- hazards
- multistate models
- survival analysis