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This article highlights over 30 biases affecting research outcomes, suggesting pre-emptive actions to improve validity.
Various biases, knowingly or unknowingly can creep into medical research, affecting the validity of findings and often lead to disappointing results when applied in real-world settings. This article provides a concise overview of more than 30 types of biases that can adversely influence research outcomes. The objective is to raise readers’ awareness of these biases so that pre-emptive actions can be taken to ensure study validity, and thereby enhance the credibility of the findings.
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Abhaya Indrayan (2025) studied this question.
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