A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival.

The log-rank test for equality of survival curves was highly significant at P = 0.001.

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In addition to PPS, other risk factors such as age, cancer status and gender have been reported to be significant predictors of palliative patient survival in several studies [11] , [14] ._ENREF_18 In our study we did not adjust for other risk factors because though they may be significant predictors of survival for the cohort of patients in our dataset, they may not be in other palliative settings.

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