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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Related Experiment Video

Updated: Jul 9, 2026

Novel Object Exploration as a Potential Assay for Higher Order Repetitive Behaviors in Mice
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Published on: August 20, 2016

Analysis of repeated events.

R J Cook1, J F Lawless

  • 1Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada, N2L 3G1.

Statistical Methods in Medical Research
|June 4, 2002
PubMed
Summary

Analyzing repeated events in medical studies is crucial. This review covers methods for recurrent events and dependent terminating events, applicable to conditions like cystic fibrosis and cancer, using existing software.

Area of Science:

  • Biostatistics
  • Clinical Research Methodology
  • Epidemiology

Background:

  • Repeated events in individuals are common in medical research.
  • Existing analytical methods may not fully address the complexities of recurrent event data.
  • Understanding these events is vital for patient outcomes in chronic diseases.

Purpose of the Study:

  • To review and compare analytical methods for recurrent event data.
  • To guide the selection of appropriate statistical approaches for clinical studies.
  • To address the analysis of dependent terminating events in conjunction with recurrent events.

Main Methods:

  • Review of statistical methodologies for analyzing recurrent event data.
  • Consideration of both 'full' event process models and 'marginal' models.

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  • Discussion on handling dependent terminating events related to recurrent events.

    • Main Results:

    • Various analytical methods are presented and discussed.
    • The study highlights the importance of aligning analytical methods with clinical questions.
    • Examples from cystic fibrosis (pulmonary exacerbations) and cancer (bone metastases) illustrate the methods.

    Conclusions:

    • The reviewed methodologies offer flexible approaches to analyzing recurrent events.
    • Most methods are implementable using readily available statistical software.
    • Appropriate analysis of recurrent events can lead to more direct answers to clinical questions.