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These techniques include the implementation of directed acyclic graphs, which allow scientists to clearly and reproducibly establish the causal interactions between study variables, hence making statistical analysis better made. Directed acyclic graphs further allow researchers to spot confounding and other sourced elements of bias also to find out causal results among complex systems of variables. This analysis is designed to present these ways to the general urology and urologic oncology study communi
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