Information bias in health research: definition, pitfalls, and adjustment methods
Информационное смещение в исследованиях здоровья: определение, проблемы и методы корректировки
2016-05-01
SCID: 54.1/e475utqf
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adjustment methodshealth researchinformation biasmisclassificationobservational studies
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Abstract (AI)
As with other fields, medical sciences are subject to different sources of bias. While understanding sources of bias is a key element for drawing valid conclusions, bias in health research continues to be a very sensitive issue that can affect the focus and outcome of investigations. Information bias, otherwise known as misclassification, is one of the most common sources of bias that affects the validity of health research. It originates from the approach that is utilized to obtain or confirm study measurements. This paper seeks to raise awareness of information bias in observational and experimental research study designs as well as to enrich discussions concerning bias problems. Specifying the types of bias can be essential to limit its effects and, the use of adjustment methods might serve to improve clinical evaluation and health care practice.
Key Findings
1
Adjustment methods may reduce information-bias effects and improve clinical evaluation and healthcare practice.
2
Information bias originates from the methods used to obtain or confirm measurements in a study.
3
Information bias, also known as misclassification, is identified as one of the most common biases threatening the validity of health research.
4
Specifying the type of information bias is essential for limiting its effects on study conclusions.
5
The paper emphasizes that information bias affects both observational and experimental research designs.
Research Object
Information bias (misclassification) in observational and experimental health research
Research Subject
The sources, effects on validity, and adjustment methods for information bias arising from the acquisition or confirmation of study measurements
Publication Details
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2016-05-01
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