Park Taesung, Ki Moran, Yi Sung-Gon
Department of Statistics, Seoul National University, San 56-1 Shin Lim-Dong, Kwanak-Gu, Seoul, Korea 151-742.
Stat Med. 2004 Jun 30;23(12):1871-83. doi: 10.1002/sim.1540.
Vaccination is quite effective in reducing the incidence of disease. However, it may cause some adverse events. For example, one of the adverse events of measles-mumps-rubella(MMR) vaccination is the occurrence of aseptic meningitis. Since the vaccination rate is usually quite high, it is not plausible to use popular study designs such as cohort or case-control studies. We considered a case cross-over design to investigate the association between MMR vaccination and aseptic meningitis in Korean children. We used the Cochran-Mantel-Haenszel(CMH) approach, and obtained a Mantel-Haenszel odds ratio estimator as a measure of association. However, the validity of case cross-over design or the CMH approach in vaccine adverse studies has not been fully investigated. In this paper, through Monte Carlo simulation studies, we show the appropriateness of the case cross-over design and the CMH approach. We also discuss alternative approaches such as Poisson regression using offset and a simple uniformity test. In conclusion, the case cross-over design seems useful to investigate the association between vaccination and occurrence of acute adverse events.
疫苗接种在降低疾病发病率方面相当有效。然而,它可能会引发一些不良事件。例如,麻疹-腮腺炎-风疹(MMR)疫苗接种的不良事件之一是无菌性脑膜炎的发生。由于疫苗接种率通常相当高,使用队列研究或病例对照研究等常用研究设计是不合理的。我们考虑采用病例交叉设计来调查韩国儿童中MMR疫苗接种与无菌性脑膜炎之间的关联。我们使用了 Cochr an-Mantel-Haenszel(CMH)方法,并获得了Mantel-Haenszel优势比估计值作为关联度的度量。然而,病例交叉设计或CMH方法在疫苗不良事件研究中的有效性尚未得到充分研究。在本文中,通过蒙特卡罗模拟研究,我们展示了病例交叉设计和CMH方法的适用性。我们还讨论了替代方法,如使用偏移量的泊松回归和简单的均匀性检验。总之,病例交叉设计似乎有助于调查疫苗接种与急性不良事件发生之间的关联。