Critiquing Sources of Error in Population Research
Epidemiological studies are critical in providing insights into carrying out evidence-based healthcare practices. However, such studies may sometimes be vulnerable to errors, such as information bias, selection bias, confounding, and random errors that can negatively affect the finding’s validity (Boutron et al., 2019). Researchers should know how to address the biases and confounding aspects likely ... Read More
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