This podcast episode talks about randomized controlled trials (RCTs) and how they are used in research to evaluate the effectiveness of interventions. The hosts also discuss the importance of adjusting for confounding in RCTs and how multiple regression can be used to do this in the analysis phase. They also touch on the assumptions of multiple regression, such as linearity, independence, normality, and equal variance. This episode of the Podiatry Research podcast discusses randomized controlled trials, which are considered the gold standard of research designs. In this type of study, participants are randomly assigned to either receive an intervention or not, in order to see if there is an impact on a certain outcome. Randomized controlled trials help eliminate confounding and bias, and demonstrate a clear cause-and-effect relationship. They also have some limitations, such as being time and resource consuming, and potential for harm to participants. 

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