“…Data analysis bias occurs when researchers create data that never existed, eliminate data that contradict the study hypothesis, use inappropriate statistical analysis, or perform multiple analyses until they obtain a result with a statistically significant difference [2,4]. Interpretation bias is another type of bias, which occurs when researchers disregard the original outcomes of the study and interpret them based on their preconceived beliefs, hypotheses, and conflicts of interest [2,5].…”