Approximate case influence for the proportional hazards regression model with censored data.
A method is presented for approximating the influence of individual cases upon regression coefficient estimates obtained from the Cox proportional hazards model. Observations can thus be identified which may greatly influence statistical inferences regarding the effects of prognostic factors upon survival time. An example from a cancer clinical trial is given.
D001699:Biometry / Q000379:methods*; D002986:Clinical Trials as Topic / Q000379:methods; D006801:Humans; D008175:Lung Neoplasms / Q000628:therapy; D012044:Regression Analysis