Risk of bias refers to the potential for systematic errors in the design, conduct, or analysis of research that can lead to misleading results or conclusions. In the context of sequential and group sequential designs, understanding the risk of bias is crucial as these methodologies often involve interim analyses and multiple looks at data, which can influence decision-making and ultimately affect the validity of findings.
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