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Linear Categorical Marginal Modeling of solicited symptoms in vaccine clinical trials

Author

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  • Bergsma, W. P.
  • Aris, E. M. D.
  • Tibaldi, F. S.

Abstract

Analysis of the occurrence of adverse events, and in particular of solicited symptoms, following vaccination is often needed for the safety and benefit-risk evaluation of any candidate vaccine, and typically involves taking repeated measurements. In this article, it is shown that Linear Categorical Marginal Models (LCMMs) are well suited to take into account the dependencies in the data arising from the repeated measurements and provide detailed and useful information for comparing safety profiles of different products while remaining relatively easy to interpret. LCMMs are presented and applied to a Phase III clinical trial of a candidate meningococcal pediatric vaccine.

Suggested Citation

  • Bergsma, W. P. & Aris, E. M. D. & Tibaldi, F. S., 2013. "Linear Categorical Marginal Modeling of solicited symptoms in vaccine clinical trials," LSE Research Online Documents on Economics 61227, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:61227
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    File URL: http://eprints.lse.ac.uk/61227/
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    More about this item

    Keywords

    marginal models; repeated categorical data; safety; vaccine development;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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