Understanding Bias Detection and Meta-Analysis in Clinical Research

This chapter explores key elements of bias detection in meta-analysis, emphasizing randomization, allocation concealment, and blinding. It also illustrates the role of forest plots in data representation and invites audience interaction and support for the podcast.