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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
        

You Answered:

Selection CA stepwise selected model, consisting of the 3 pre-specified predictors and the 2 important interaction terms, plus 2 predictors from a set of 10 other candidate covariables

CORRECT

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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