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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.
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Is it appropriate to use Cox regression when risk of event is higher at the start of study?
as per title, like to check if it is appropriate to use Cox regression when the risk of event appears to decrease with follow-up time?
If it is not appropriate, what model should I be using instead? …