Event

Censored data are common in medical studies. Survival time is a simple example. Recurrent events and paired interval-censored data (including detection limit as a special case) are more complex forms of censored data. The former include, for example, multiple disease episodes, hospitalizations, and injuries; the latter include laboratory measures at baseline and end-of-study.

This workshop will discuss the key concepts and methods for handling such data, including practical demonstration of statistical analysis of recurrent events and paired interval-censored data.

WHO SHOULD ATTEND?
Applied statisticians, epidemiologists and quantitatively inclined clinical researchers will find this workshop useful.

COSTS (incl GST)
Standard registration fee $99
Students (full time) $77

Includes afternoon tea.  Course notes provided electronically.