STATISTICS SEMINAR :: Recurrent Event Modeling and Statistical Analysis

Event Details
  • Date/Time:
    • Thursday October 19, 2006
      11:00 am - 12:00 am
  • Location: Executive classroom of Main building
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher
404.385.3102
Summaries

Summary Sentence: STATISTICS SEMINAR :: Recurrent Event Modeling and Statistical Analysis

Full Summary: STATISTICS SEMINAR :: Recurrent Event Modeling and Statistical Analysis

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.

Additional Information

In Campus Calendar
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Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Categories
Seminar/Lecture/Colloquium
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Status
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:33am
  • Last Updated: Oct 7, 2016 - 9:52pm