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




Chapter 8: Statistical Models for Prognostication: Ingredients of Statistical Models
        

Outcome

A predictive model predicts an outcome (or "end point"). Statistically speaking, the outcome is the dependent variable in a prediction problem Y, i.e. the variable that is predicted. The outcome should be a clinically relevant variable. For example, when the purpose of the predictive model is to support decision making, the outcome should be a variable that is considered crucial in the decision-making process.

QUESTION 4.1

A predictive model is developed to support decision making regarding whether to use a particular intensive pain medication protocol. What would be a relevant outcome for the predictive model?

Selection AThe score on a pain questionnaire
Selection BThe score on a general quality of life questionnaire
Selection CThe expected length of stay in hospital

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