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Comparison of statistical methods for recurrent event analysis using pediatrics asthma data.

C P Yadav1,2, Rakesh Lodha3, S K Kabra3

  • 1ICMR-National Institute of Malaria Research (NIMR), New Delhi, India.

Pharmaceutical Statistics
|June 3, 2020
PubMed
Summary

The Prentice, William, and Peterson-Gap Time (PWP-GT) model is the best for analyzing recurrent pediatric asthma events. This recurrent event analysis identified seven key predictors of asthma exacerbation.

Keywords:
Anderson-Gill modelExtended Cox modelsFrailty modelPrentice, William, and Peterson modelRecurrent eventSurvival analysis

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Pediatric Pulmonology

Background:

  • Recurrent events, characterized by within-subject correlation and time-varying covariates, pose challenges for traditional statistical methods.
  • Existing statistical methods often fail to adequately analyze recurrent event data, necessitating advanced approaches.

Purpose of the Study:

  • To compare the performance of six prominent recurrent event analysis methods on pediatric asthma data.
  • To identify the most appropriate statistical model for analyzing recurrent pediatric asthma exacerbations.

Main Methods:

  • Comparison of three variance-corrected models (Anderson and Gill [AG], Prentice, William, and Peterson-Counting Process [PWP-CP], Prentice, William, and Peterson-Gap Time [PWP-GT]) and their frailty variants.
  • Evaluation using mathematical criteria (AIC, BIC, log-likelihood) and graphical criteria (Cox-Snell goodness of fit, visual test).

Main Results:

  • The Prentice, William, and Peterson-Gap Time (PWP-GT) model consistently outperformed other models across all comparison indices.
  • Seven significant predictors of pediatric asthma exacerbation were identified using the PWP-GT model.

Conclusions:

  • The PWP-GT model is the most suitable statistical approach for analyzing recurrent events in pediatric asthma data.
  • Key predictors of asthma exacerbation include prior symptoms, diagnosis, visit details, and socioeconomic factors.