Faculty Development Workshop

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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
 Date January 30, 2015
 Time 9 am to 3/4 pm (Lecture begins 10 am)
Breakfast and lunch included
Location MaRS Discovery District
101 College Street, South Tower
Room CR-3
 Registration Complimentary registration for IHPME faculty and postdoctoral fellows
Maximum registration:  30
Registration is Closed

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Communications

Marielle Boutin
Email Address: ihpme.communications@​utoronto.ca

Manages all IHPME-wide communications and marketing initiatives, including events and announcements.