Most usefully, for epidemiology and other fields in which the entire model surrounding the test is questionable, this shift from interpreting the P value as a test of a hypothesis to a test of its embedding model applies whether or not biases are present.47,48 An essential caution in this use is that a large P value does not mean the model should be taken as correct; rather, it means that the data