Saucier Adrien, Nasri Bouchra, McKinnon Britt, Carabali Mabel, Pierce Laura, Charland Katia, Zinszer Kate
Université de Montréal Centre de recherche en santé publique, Montréal, Quebec, Canada.
Am J Epidemiol. 2025 Apr 8;194(4):1112-1121. doi: 10.1093/aje/kwae276.
Seroprevalence studies of SARS-CoV-2 infections often have been based on study populations with nonrandom and nonrepresentative samples, limiting the generalizability of their results. In this study, the representativity and the generalizability of the baseline estimate (data collected from October 16, 2020, to April 18, 2021) of a pediatric seroprevalence study based in Montréal were investigated. The change in the estimates of seroprevalence were compared between 2 different weighting methods: marginal standardization and raking. The target population was the general pediatric population of Montréal, based on 2016 Canadian census data. Study results show variation across the multiple weighting scenarios. Although both weighting methods performed similarly, each possesses its own strengths and weaknesses. However, raking was preferred for its capacity to simultaneously weight for multiple underrepresented study population characteristics.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的血清流行率研究通常基于非随机且无代表性样本的研究人群,这限制了其结果的可推广性。在本研究中,对一项基于蒙特利尔的儿科血清流行率研究的基线估计值(2020年10月16日至2021年4月18日收集的数据)的代表性和可推广性进行了调查。比较了两种不同加权方法(边际标准化和拉平)之间血清流行率估计值的变化。目标人群是基于2016年加拿大人口普查数据的蒙特利尔普通儿科人群。研究结果显示了多种加权方案之间的差异。虽然两种加权方法表现相似,但每种方法都有其自身的优缺点。然而,拉平方法因其能够同时针对多个代表性不足的研究人群特征进行加权而更受青睐。