• The beauty of the experimental design is that it effectively rules out confounding variables; acoustic isolation assures that the female can respond only to the song structure itself.

    实验设计美妙之处在于有效地排除混淆变量声学隔离确保雌性只能鸣声结构本身做出反应

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  • Analyses were adjusted for confounding variables using logistic regression.

    使用逻辑回归调整混杂变量分析

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  • Identify possible biases and confounding variables, both during the design phase of the study and the interpretation of the results.

    可以通过研究设计步骤结果合理解释鉴别可能偏差混杂变量

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  • That study was challenged because data were collected at several institutions, and thus had numerous possibly confounding variables.

    由于此前的研究数据是从医院获取的,其中难免会混杂一些影响研究结果的变数,因此调查的结果受到了质疑。

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  • One of the difficulties of such research is that it isn't really an experiment- it is impossible to control for all of the confounding variables.

    这种研究困难之一全是一项实验不可能控制各种混杂变量

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  • Internal validity: the degree to which the results of a study can be attributed to the treatment rather than extraneous or confounding variables.

    内部效度一个实验结果归咎于实验处理非归咎于无关的混淆的变量的程度

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  • This is a problem in nearly every study, and even in studies controlling for known confounding variables, residual confounding remains a concern.

    几乎每个研究都存在问题甚至控制已知混杂因素研究中,其他的混杂因素依然受到人们的关注

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  • The study sounds simple, but the design of the experiments was actually somewhat complex, because the researchers had to overcome a number of confounding variables.

    这个实验听起来很简单但是实验设计确实有一定程度复杂性因为研究人员不得不克服一些混淆变量。

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  • Understand why multiple regression techniques allow for the analysis of the relationship between an outcome and a predictor in the presence of confounding variables.

    了解为何回归允许干扰变数情况下,分析单一结果预测变项关联性。

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  • They also knew that, by working with surveys from three countries, and with such a wide range of ages, they would diversify the data and iron out confounding variables.

    他们明白研究三个国家调查结果,而且这么广年龄跨度,他们使数据多样化消除混杂变量。

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  • After controlling these possible confounding variables by multiple regression, the contribution of the ALAD isozyme phenotype to the blood lead levels was still statistically significant.

    采用多元逐步回归分析,发现ALAD基因水平影响在排除协变量影响仍有极显著的统计学意义。

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  • Although statistical modeling could control for these measured baseline differences, the potential for confounding by unmeasured variables existed.

    虽然应用统计模型控制这些基线评估上的差异,但仍然存在一些无法测定变量导致潜在混杂

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  • Although statistical modeling could control for these measured baseline differences, the potential for confounding by unmeasured variables existed.

    虽然应用统计模型控制这些基线评估上的差异,但仍然存在一些无法测定变量导致潜在混杂

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