This 2-day course introduces the foundation for understanding how and why certain events do or do not occur, such as when young people leave home, length of employment, or time to first home ownership.

The skills learned are widely applicable to demographic, health, and social science and policy research and topics. This short course is aimed at policymakers, data analysts, and specialists interested in understanding factors influencing the timing and occurrence of events over time. Participants will gain hands-on experience accessing and structuring data, and analysing event history data.

Topics

• Foundational principles of analysing the occurrence of events
• Common data structures
• Problems with conventional methods when dealing with duration data
• Interpretation of duration models

Learning outcomes

Upon successful completion, participants will have the knowledge and skills to:

• Explain the overall conceptual and analytical approach of time to event methods;
• Outline appropriate techniques for formatting and analysing duration data;
• Interpret graphical and statistical outputs based on duration models.

Dates:

Monday 16 June - 9.00 am to Tuesday 17 June - 5.30 pm

Online option is available, please indicate this in your registration.