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Hypertabastic survival model

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Figure 1for a) Hypertabastic hazard curve for 0 <for ββ > 2= 1; d) Hypertabastic hazard curve for 1 β ≤ 0.25; b) Hypertabastic hazard curve for 0.25 <≤ β < 2; e) Hypertabastic hazard curve for β β< 1; c) Hypertabastic hazard curve = 2; f) Hypertabastic hazard curve a) Hypertabastic hazard curve for 0 <β ≤ 0.25; b) Hypertabastic hazard curve for 0.25 <β < 1; c) Hypertabastic hazard curve for β = 1; d) Hypertabastic hazard curve for 1 ≤ β < 2; e) Hypertabastic hazard curve for β = 2; f) Hypertabastic hazard curve for β > 2.
Table 1: Average -log likelihoods and their standard errors for Weibull (W), hypertabastic (HT), log-logistic (LL) and log-normal (LN) models based on 1000 simulations from eleven parameter combinations of two parameter Weibull, log-normal and gamma distributions
Table 2: Statistical results for hypertabastic proportional hazards and four comparison models for multiple myeloma data
Table 3 gives a statistical summary for the glioma data. Forinstance, the hypertabastic estimated value for the coeffi-cient of the variable radiosensitizer is 0.4387 with a stand-ard error of 0.3437
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