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

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), Stepwise methods, Mallow’s Cp, 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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https://lupinepublishers.com/biostatistics-biometrics-journal/pdf/CTBB.MS.ID.000101.pdf

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