Department of Population Health Sciences, Bristol Medical School, University of Bristol, UK.
Department of Basic Psychology & Methodology, Faculty of Psychology, University of Murcia, Spain.
Int J Epidemiol. 2019 Dec 1;48(6):2001-2009. doi: 10.1093/ije/dyz092.
Many studies have examined 'non-specific' vaccine effects on infant mortality: attention has been particularly drawn to diphtheria-tetanus-pertussis (DTP) vaccine, which has been proposed to be associated with an increased mortality risk. Both right and left censoring are common in such studies.
We conducted simulation studies examining right censoring (at measles vaccination) and left censoring (by excluding early follow-up) in a variety of scenarios in which confounding was and was not present. We estimated both unadjusted and adjusted hazard ratios (HRs), averaged across simulations.
We identified scenarios in which right-censoring at measles vaccination was informative and so introduced bias in the direction of a detrimental effect of DTP vaccine. In some, but not all, situations, adjusting for confounding by health status removed the bias caused by censoring. However, such adjustment will not always remove bias due to informative censoring: inverse probability weighting was required in one scenario. Bias due to left censoring arose when both health status and DTP vaccination were associated with mortality during the censored early follow-up and was in the direction of attenuating a beneficial effect of DTP on mortality. Such bias was more severe when the effect of DTP changed over time.
Estimates of non-specific effects of vaccines may be biased by informative right or left censoring. Authors of studies estimating such effects should consider the potential for such bias and use appropriate statistical approaches to control for it. Such approaches require measurement of prognostic factors that predict censoring.
许多研究都探讨了“非特异性”疫苗对婴儿死亡率的影响:特别关注白喉-破伤风-百日咳(DTP)疫苗,有人提出它与死亡率风险增加有关。在这类研究中,右删失和左删失都很常见。
我们进行了模拟研究,在存在和不存在混杂的各种情况下,研究了麻疹疫苗接种时的右删失(右删失)和早期随访时的左删失(左删失)。我们估计了未经调整和调整后的风险比(HR),并在模拟中进行了平均。
我们发现了一些麻疹疫苗接种右删失信息丰富的情况,因此导致 DTP 疫苗的不利影响存在偏差。在某些情况下(但并非所有情况),通过健康状况调整混杂因素可以消除由删失引起的偏差。然而,这种调整并不总是能消除由于信息性删失引起的偏差:在一种情况下需要进行逆概率加权。当健康状况和 DTP 疫苗接种都与删失期内的死亡率相关时,会出现由于左删失引起的偏倚,并且 DTP 对死亡率的有益影响会减弱。当 DTP 的作用随时间变化时,这种偏差会更加严重。
疫苗非特异性效应的估计可能因信息性右删失或左删失而存在偏差。估计此类影响的研究作者应考虑到这种偏差的可能性,并使用适当的统计方法来控制这种偏差。这些方法需要测量预测删失的预后因素。