Prelude 16 We developed algorithms to facilitate the analysis of vast amounts of health policy documents, thereby sometimes even having to rely on modern techniques that are able to translate images into text (optical character recognition). In addition, we also made use of standard systematic reviews to answer our research questions. Furthermore, we acquired and analyzed individual patient-level trial data with expanded access data by developing novel statistical techniques, combining Bayesian dynamic borrowing and propensity score matching. Lastly, we investigated the ethical aspects of expanded access research, such as patient selection, access equity, and research oversight, and suggest policy improvements to overcome said concerns. This broad spectrum of research methods was necessary to address the variety of important ethical, practical, statistical, and policy implications that are vital for the future of expanded access.
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