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Abstract Temporal data, obtained in the setting where it is only possible to observe one time point per experiment, is widely used in different research fields, yet remains insufficiently addressed from the statistical point of view. Such data often contain observations of a large number of entities, in which case it is of interest to identify a small number of representative behavior types.
Vorasidenib has been praised as a medical advance for patients with low-grade glioma, a disease with little drug development in over two decades. Patients who have low-grade glioma, but are considered to have high-risk disease, are eligible for further treatment. Nevertheless, it is accepted practice to delay radiotherapy, based on randomized data that showed no difference in overall survival (OS) between those who received early versus late radiotherapy [1].
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