Confidence Bands for Multiplicative Hazards Models: Flexible Resampling Approaches

D. Dobler, Markus Pauly, Thomas H. Scheike

Research output: Contribution to JournalArticleAcademicpeer-review

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 languageEnglish
Pages (from-to)906-916
Number of pages11
JournalBiometrics
Volume75
Issue number3
DOIs
Publication statusAccepted/In press - 2019

Keywords

  • Cox regression
  • Martingale theory
  • competing risks
  • counting processes
  • hazards
  • multistate models
  • survival analysis

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