Publication Bias

Publication bias, the tendency for studies with positive results to be published more frequently than those with negative or null findings, significantly distorts the scientific literature across diverse fields, including machine learning, reinforcement learning, and even financial modeling. Current research focuses on identifying and quantifying this bias, particularly in the context of model performance evaluation, developing methods to correct for its effects on meta-analyses, and improving experimental design to mitigate its occurrence. Addressing publication bias is crucial for ensuring the reliability and validity of scientific findings and for fostering more robust and accurate conclusions in various applications.