疫苗状态分类错误对covid-19疫苗疗效研究的影响程度

Martin Neil, Scott McLachlan, Norman Fenton
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引用次数: 0

摘要

人们认识到,许多报告 Covid-19 疫苗疗效高的研究都存在各种选择偏差。系统回顾发现,有 39 项研究存在一种特殊而严重的偏差,即 "误分类偏差",即已接种疫苗的研究参与者被归类为未接种疫苗者,直到接种疫苗后某个任意定义的时间为止。模拟结果表明,即使疫苗的效力为零或负,这种误分类偏差也会人为地提高疫苗的效力和感染率。此外,模拟还表明,要维持这种误导性的效价印象,需要每隔几个月重复接种疫苗。有鉴于此,根据这些研究得出的任何关于 Covid-19 疫苗功效的说法都可能是统计上的错觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The extent and impact of vaccine status miscategorisation on covid-19 vaccine efficacy studies
It is recognised that many studies reporting high efficacy for Covid-19 vaccines suffer from various selection biases. Systematic review identified thirty-nine studies that suffered from one particular and serious form of bias called miscategorisation bias, whereby study participants who have been vaccinated are categorised as unvaccinated up to and until some arbitrarily defined time after vaccination occurred. Simulation demonstrates that this miscategorisation bias artificially boosts vaccine efficacy and infection rates even when a vaccine has zero or negative efficacy. Furthermore, simulation demonstrates that repeated boosters, given every few months, are needed to maintain this misleading impression of efficacy. Given this, any claims of Covid-19 vaccine efficacy based on these studies are likely to be a statistical illusion.
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