임상 연구에서 비뚤림과 인과 관계
Bias and Causal Association in Clinical Research
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The bias results from the lack of internal validity or incorrect measurement of the association between exposure and effect in the target population. In regard to internal validity, selection bias, information bias, and confounding can appear to some degree in all observational research. Selection bias arises from an absence of comparability among study groups. Information bias is caused by incorrect assessment of exposures, effects, or both. Confounding is a confusing or blurring of effects. Researchers try to relate exposure to outcome but actually measure the effect of a third factor. Confounding can be controlled in several ways - restriction, matching, stratification, and more sophisticated multivariate techniques.
Abstract
The bias results from the lack of internal validity or incorrect measurement of the association between exposure and effect in the target population. In regard to internal validity, selection bias, information bias, and confounding can appear to some degree in all observational research. Selection bias arises from an absence of comparability among study groups. Information bias is caused by incorrect assessment of exposures, effects, or both. Confounding is a confusing or blurring of effects. Researchers try to relate exposure to outcome but actually measure the effect of a third factor. Confounding can be controlled in several ways - restriction, matching, stratification, and more sophisticated multivariate techniques.
참고문헌 (28)
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