Das Abhik, Poole W Kenneth, Bada Henrietta S
Statistics Research Division, Research Triangle Institute, Rockville, MD, USA.
Am J Epidemiol. 2004 May 1;159(9):891-9. doi: 10.1093/aje/kwh114.
Multiple binary outcomes are encountered frequently in epidemiologic research. This work was motivated by the Maternal Lifestyle Study, 1993-1995, where newborns exposed prenatally to cocaine and a comparison cohort were examined for the presence of central and autonomic nervous system (CNS/ANS) signs. Thus, each infant contributed to multiple, possibly interrelated, binary outcomes that may collectively constitute one syndrome (even though specific outcomes that are affected by cocaine are of scientific interest). Because it is neither scientifically appropriate nor statistically efficient to fit separate models for each outcome, here we adopt a multivariate repeated measures approach to simultaneously model all the CNS/ANS outcomes as a function of cocaine exposure and other covariates. This formulation has a number of advantages. First, it implicitly recognizes that all the CNS/ANS outcomes may together constitute one syndrome. Second, simultaneous modeling boosts statistical efficiency by allowing for correlations among the outcomes, and it avoids multiple comparisons. Third, it allows for outcome-specific exposure effects, so that the specific signs that are affected by cocaine exposure can be identified.
在流行病学研究中经常会遇到多个二元结局。这项工作的灵感来自于1993年至1995年的孕产妇生活方式研究,在该研究中,对产前暴露于可卡因的新生儿以及一个对照队列进行了中枢和自主神经系统(CNS/ANS)体征检查。因此,每个婴儿都有多个可能相互关联的二元结局,这些结局可能共同构成一种综合征(尽管受可卡因影响的特定结局具有科学研究价值)。由于为每个结局拟合单独的模型既不符合科学要求,在统计上也缺乏效率,因此我们采用多变量重复测量方法,将所有CNS/ANS结局同时建模为可卡因暴露和其他协变量的函数。这种方法有许多优点。首先,它隐含地认识到所有CNS/ANS结局可能共同构成一种综合征。其次,通过考虑结局之间的相关性,同时建模提高了统计效率,并且避免了多重比较。第三,它允许存在特定结局的暴露效应,从而可以识别受可卡因暴露影响的特定体征。