Tuesday 13 November 2018

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




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 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.

No comments:

Post a Comment

Lupine Publishers |Ninety-Five British Gulf War Health Professionals’ Met and Unmet Expectations of Re-Entry to Civilian Life Following Military Deployment

  Lupine Publishers- Biostatistics and Biometrics Open Access Journal Abstract   Ninety-five British ex-Army Reserve and Voluntary Services ...