The `predict_partial_hazard` function in the Python lifelines package is used to predict the partial hazard rates for new or unseen data using the Cox proportional hazards regression model. The CoxPHFitter class in lifelines represents this model. The partial hazard rate represents the instantaneous risk of an event occurring at a specific time, given the covariates or features of an individual. By using this function, users can estimate the partial hazard rates for new observations based on the learned parameters from the CoxPHFitter model. This information is useful for understanding the time-to-event analysis and predicting the risk of an event happening.
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