Statistical analysis of MMR vaccine adverse events on aseptic meningitis using the case cross-over design

Taesung Park1, Moran Ki, Sung-Gon Yi

  • 1Department of Statistics, Seoul National University, San 56-1 Shin Lim-Dong, Kwanak-Gu, Seoul, Korea 151-742. tspark@stats.snu.ac.kr

Insights

The case cross-over design is effective for studying adverse events like aseptic meningitis after measles-mumps-rubella (MMR) vaccination. This study validates the case cross-over design and Cochran-Mantel-Haenszel approach for vaccine safety research.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Vaccinology

Background:

  • Vaccination significantly reduces disease incidence but can cause adverse events.
  • Aseptic meningitis is a potential adverse event associated with measles-mumps-rubella (MMR) vaccination.
  • High vaccination rates limit the feasibility of traditional cohort or case-control studies for vaccine adverse event research.

Purpose of the Study:

  • To investigate the association between MMR vaccination and aseptic meningitis in Korean children.
  • To evaluate the validity and appropriateness of the case cross-over design and Cochran-Mantel-Haenszel (CMH) approach for studying vaccine adverse events.
  • To explore alternative statistical methods for vaccine safety analysis.

Main Methods:

  • Utilized a case cross-over design to assess the relationship between MMR vaccination and aseptic meningitis.
  • Employed the Cochran-Mantel-Haenszel (CMH) approach to obtain a Mantel-Haenszel odds ratio estimator.
  • Conducted Monte Carlo simulation studies to demonstrate the appropriateness of the case cross-over design and CMH method.
  • Discussed alternative approaches including Poisson regression with offset and uniformity tests.

Main Results:

  • Monte Carlo simulations confirmed the appropriateness of the case cross-over design for investigating vaccine adverse events.
  • The CMH approach, when applied within the case cross-over framework, proved suitable for estimating the association.
  • The study provides evidence supporting the utility of these methods in vaccine safety surveillance.

Conclusions:

  • The case cross-over design is a useful epidemiological tool for investigating the association between vaccinations and acute adverse events.
  • The CMH approach is a valid statistical method for analyzing data from case cross-over studies in vaccine safety research.
  • Further investigation into statistical methodologies for vaccine adverse event studies is warranted.