Advanced Statistical Methods for Handling Event History Data: Going Beyond the Cox Model

Aim

The aim of this workshop is to provide the Investigator with information on various methodological options that are available when examining time-to-event data. Researchers will see how to go beyond the Cox model for handling time to recurrent events, competing events, and multistate events.

Outline

• Define event history data: survival data, competing risks data, recurrent event data, multi-state data
• Review numerous examples of how such types of data arise in clinical and health services research.
• Discuss the relationship between multi-state data and …
  • Time-to-event data
  • Competing risks data
  • Recurrent event data
• Introduce multi-state models, definition, notation, and assumptions (Markov and Semi-Markov)
• Data structure for multi-state models
• How to conduct a multi-state analysis without covariates
• Incorporating covariates
• How to conduct a multi-state analysis with covariates
• Competing risks data analysis using multi-state models
• Recurrent event data analysis using multi-state models
• How to handle common limitations in longitudinal observational data, such as intermittent observation and interval-censoring