An extension of the proportional-hazards model for grouped data.
A family of transformations for probabilities is considered for the analysis of grouped survival data. Additive and multiplicative models for the hazard function are compared. A method is suggested for estimating the scale on which an additive representation of the hazard, in terms of explanatory variables, is appropriate. Computations are performed using GLIM. A test for departures from the grouped proportional-hazards model is introduced. An example is analyzed by the methods put forward.
D002986:Clinical Trials as Topic / Q000379:methods*; D003201:Computers; D006801:Humans; D007938:Leukemia / Q000188:drug therapy* / Q000401:mortality; D008954:Models, Biological; D011336:Probability; D012107:Research Design; D012306:Risk