Model Selection in Regression: Application to Tumours in Childhood: (CTBB)-LupinePublishers

Model Selection in Regression: Application  to Tumours in Childhood by Annah Managa in Current Trends on Biostatistics & Biometrics in Lupine Publishers

We give a chronological review of the major model selection methods that have been proposed from circa 1960. These model selection procedures include Residual mean square error (MSE), coefficient of multiple determination (R² ), adjusted coefficient of multiple determination (Adj R² ), Estimate of Error Variance (S² ), Stepwise methods, Mallow’s C_p , Akaike information criterion (AIC), Schwarz criterion (BIC). Some of these methods are applied to a problem of developing a model for predicting tumors in childhood using log-linear models. The theoretical review will discuss the problem of model selection in a general setting. The application will be applied to log-linear models in particular.

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