Randomized Controlled Trials
Randomized Controlled Trials (RCTs) are experimental designs used in Data Science and Artificial Intelligence to evaluate the effectiveness of interventions or treatments. RCTs involve randomly assigning participants to either a treatment group or a control group, and then comparing the outcomes between the two groups. This design helps to minimize bias and confounding variables, and allows researchers to draw causal inferences about the effects of the intervention. RCTs are commonly used in healthcare, education, and social sciences to evaluate the efficacy of new drugs, therapies, or interventions. They are also used in machine learning to evaluate the performance of algorithms and models.
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