Rank Estimators Versus Least Square Estimators for Estimating the Parameters of Semiparametric Accelerated Failure Time Model-Juniper Publishers
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Biostatistics and Biometrics Open Access Journal Abstract Rank-based method and least square approach are the
most common techniques for estimating the regression parameters of
accelerated failure time model. In this paper, both inference procedures
are considered, their advantages and disadvantages are explained, and
their similarities and differences are discussed. Keywords: Accelerated failure time model; Rank-based inference; Least square
method; Semiparametric method; Censored data; Li