Showing papers on "Semiparametric model published in 1984"
TL;DR: The development of various generalizations of Cox's proportional hazards regression model to the study of more complicated life histories is reviewed.
Abstract: The development of various generalizations of Cox's proportional hazards regression model to the study of more complicated life histories is reviewed. Cox's paper provided a framework for the regression modelling of single failure (deaths) in terms of a proportional hazards assumption and subsequent work has extended this approach to the cases of multiple (non-catastrophic) failures, multi-state life histories, non-independent failure times (family studies and matched pairs), and more complicated censoring mechanisms.
6 citations
TL;DR: In this article, the power of nonparametric procedures versus their parametric partners has been empirically evaluated and shown that their lack of power, in many situations, is a myth, where there is evidence that distributions depart appreciably from normality and the variances are not homogeneous.
Abstract: Summary.--One of the most frequent criticisms leveled against using nonparametric statistics is their alleged Imk of power or sensitivity compared to their parametric counterparts. Empirical studies of the power of nonparametric procedures versus their parametric partners have shown that their lack of power, in many situations, is a myth. Where there is evidence that distributions depart appreciably from normality and the variances are not homogeneous, the probability is enhanced that the power advantage can be found in the nonparametric procedures.
4 citations