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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Recurrent events occur in many scientific areas: engineering, reliability, biomedicine, public health, industry, and economics. Examples of recurrent events are failure of electronic and mechanical systems, nuclear power plant accidents, occurrence of shocks, hospitalization of a person with a chronic disease, re-occurrence of a tumor, outbreak of a disease, and the Dow Jones Industrial Average decreasing by at least 200 points during a trading day. The stochastic modeling and the appropriate statistical inference for such models are therefore of utmost importance. In this talk I will discuss several classes of models for recurrent events and discuss methods of inference for such models. Focus will be in the semi-parametric inference for such models. The statistical analysis of recurrent event models requires care and caution because in the monitoring of such events, informative censoring occurs because of a sum-quota accrual scheme, which also leads to the number of events observed per experimental unit to be informative. Some concrete applications will be also be illustrated.
