Statistical Innovation Group, AstraZeneca, Cambridge, UK.
Res Synth Methods. 2024 Jan;15(1):152-156. doi: 10.1002/jrsm.1682. Epub 2023 Nov 13.
A recent paper proposed an alternative weighting scheme when performing matching-adjusted indirect comparisons. This alternative approach follows the conventional one in matching the covariate means across two studies but differs in that it maximizes the effective sample size when doing so. The appendix of this paper showed, assuming there is one covariate and negative weights are permitted, that the resulting weights are linear in the covariates. This explains how the alternative method achieves a larger effective sample size and results in a metric that quantifies the difficulty of matching on particular covariates. We explain how these key results generalize to the case where there are multiple covariates, giving rise to a new metric that can be used to quantify the impact of matching on multiple covariates.
最近的一篇论文提出了一种在进行匹配调整间接比较时的替代加权方案。这种替代方法与传统方法一样，在两个研究中匹配协变量均值，但不同之处在于，它在进行匹配时最大限度地提高了有效样本量。本文的附录表明，假设只有一个协变量且允许使用负权重，那么得到的权重与协变量呈线性关系。这解释了替代方法如何实现更大的有效样本量，并产生了一种度量标准，可用于量化在特定协变量上匹配的难度。我们解释了这些关键结果如何推广到存在多个协变量的情况，从而产生了一种新的度量标准，可用于量化匹配对多个协变量的影响。
