From trial data to personalized medicine: a validated framework with an application to Crohn’s disease
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From trial data to personalized medicine: a validated framework with an application to Crohn’s disease
Clinical practice is currently guided by studies that average over patient outcomes. This may not be the best approach, as different patients may have different treatment responses. Here we extend a method for simulating clinical trials to identify optimal treatments for each patient, and we illustrate this approach in the context of Crohn’s disease. Using the data from 15 randomized trials (N = 5703), we used statistical hypothesis testing to i…
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