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Statistical Models for Prognostication
Author Bio
Introduction
Predictions: Statistical Models
Insight: Statistical Models
Ingredients: Statistical Models
Theoretical Aspects
Central Concepts
Regression Models
Currently selected section: Problems: Regression
Practical Advice
Example 1
Example 2
Chapter 8: Statistical Models for Prognostication: Problems with Regression Models
        

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Selection AA pre-specified model with main effects for 3 predictors

INCORRECT

The bias may be relatively large, which may be compensated for by a low variability because of robustness of the model. The correct answer is the stepwise selected model described under (c). The bias is lowest for this model, which most closely describes patterns in the data set under study. However, the variability may be quite large when this model is based on a small data set.

 

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