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- W2039697912 abstract "This paper investigates a method for fitting piecewise log-gamma regression models to censored survival data. Partitioning is performed using analysis of the distributions of residuals and cross-validation estimates of average squared error. Instead of evaluating the maximum likelihood estimates simultaneously for all the parameters, the regression coefficients and scale parameter are estimated for different fixed values of the shape parameter in each stratum. Likelihood ratio tests for discovering the best parametric regression model among the parametric families of lifetime distributions is performed in each stratum. Thus, the proposed method can identify the model for each subsample if the whole sample consists of subsamples having different regression models. The proposed method is illustrated with real and simulated data" @default.
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- W2039697912 title "Log-gamma regression modeling 'through regression trees" @default.
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- W2039697912 doi "https://doi.org/10.1080/03610929608831696" @default.
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