Grant: Discovery Grants Program - Individual

Interest often lies in studying processes in which some events can be generated repeatedly over time; such events are called recurrent events. They arise in fields such as medicine and public health, reliability, business, and insurance. The literature on the analysis of recurrent events has grown rapidly over the past twenty years and a lot of methods have been developed. Over the next 5 years, I will work on different prediction and estimation problems involving recurrent events. This research program is divided in three parts: the improvement of prediction models involving recurrent events, the estimation of mean gap/sojourn times from aggregated data, and methods for sample size determination in hierarchical Poisson regression models.