Rhodes A E, Lin E, Streiner D L
St Michael's Hospital, Toronto, Ontario.
Can J Psychiatry. 1999 Mar;44(2):175-9. doi: 10.1177/070674379904400209.
When one variable is studied to try to explain another, the relationship between them may be biased by a third variable. The bias, known as "confounding," is common and must be minimized in research. This description is deceptively simple, though. Identifying confounding is complex but can be reduced to a stepped procedure. By way of examples, this article describes confounding and how to recognize it.
当研究一个变量以试图解释另一个变量时,它们之间的关系可能会受到第三个变量的影响而产生偏差。这种偏差被称为“混杂”,很常见,在研究中必须将其降至最低。然而,这种描述看似简单,实则不然。识别混杂因素很复杂,但可以简化为一个逐步进行的过程。本文通过实例描述了混杂因素以及如何识别它。