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Sibling Comparison Studies
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2022-03-07 , DOI: 10.1146/annurev-statistics-040120-024521
Arvid Sjölander 1 , Thomas Frisell 2 , Sara Öberg 1
Affiliation  

Unmeasured confounding is one of the main sources of bias in observational studies. A popular way to reduce confounding bias is to use sibling comparisons, which implicitly adjust for several factors in the early environment or upbringing without requiring them to be measured or known. In this article we provide a broad exposition of the statistical analysis methods for sibling comparison studies. We further discuss a number of methodological challenges that arise in sibling comparison studies.

中文翻译:


兄弟姐妹比较研究

不可测量的混杂因素是观察性研究中偏倚的主要来源之一。减少混杂偏差的一种流行方法是使用兄弟姐妹比较,它隐含地调整早期环境或教养中的几个因素,而不需要测量或知道它们。在本文中,我们对兄弟姐妹比较研究的统计分析方法进行了广泛的阐述。我们进一步讨论了兄弟姐妹比较研究中出现的一些方法学挑战。

更新日期:2022-03-07
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