Bayesian Methods For Contending With Homogeneity And Heterogeneity In Real World Data
Over the past decade, a new trend began to emerge, changing the way that clinical trials are conducted. Whereas placebo-controlled randomized control trials remain the gold standard, in some situations, single arm trials have become an accepted way of assessing a new treatment intervention. Single arm trials establish clinical benefit by demonstrating the positive effects of a new therapy or treatment, without the need to use placebo or standard of care as a control. Instead, alternative approaches of establishing the comparison are used; these have become known as external controls or synthetic control arms (SCA henceforth) and include approaches leveraging real world data from various sources or evaluations of historical clinical trial data.
Learn what situations are best suited for SCAs and how homogenous and heterogenous patients can impact the trial.
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