...「相关性研究(association study) 不等于「因果关系(causal relationship),加上有太多的「干扰因素(confounding factors) 从健保资料库里根本看不到,有相关就只是「统计上有显着,不见得是「事实上有关,更不能铁口直断说两者有因果关系。
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Data on possible confounding factors were obtained from an extensive, structured interview.
可能的混合因素资料从多方面,结构性访谈中获得。
Information on potential confounding factors was obtained from the interviews and medical charts.
自访谈和病历得到有关潜在的致混淆因素。
We used Cox regression models to estimate the risk of cancer and adjust for potential confounding factors.
我们使用Cox回归模型来估计罹患癌症的风险并根据潜在的混淆因素进行校正。
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