(三)混杂偏倚(confounding bias):当研究某个因素与某种疾病的关联时,由于某个既与疾病有制约关系,又与所研究的暴露因素有联系的外来因素的影响,掩盖或夸大了...
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bias and confounding 偏倚与混杂
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Conclusion The principles and methods for observational studies should be followed to reduce information bias, selection bias and confounding bias in statistical analysis of hospital data.
结论在对医院资料进行统计分析时,应遵循观察性研究的原则和方法,以避免可能存在的信息偏倚、选择偏倚和混杂偏倚。
Methods Possible bias and confounding and their impact on study results in Spatial Epidemiology were analyzed in given examples.
方法结合实例分析空间流行病学中可能存在偏倚与混杂及其对研究结果的可能影响。
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