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

You Answered:

Selection CWith stepwise selection and alpha=1.0 (equivalent to selection of all covariables).

CORRECT

Using a higher p-value for selection does limit the loss of information due to omission of true predictors. A full model, including all covariables, may often lead to the best predictions from a model. This does require that the set of included candidate covariables is carefully chosen, e.g. based on empirical findings in other studies and clinical knowledge.

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