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

Distributional Assumption

The distributional assumption means that assumptions are made on the distribution of the outcome variable. With linear regression, the outcome should have a normal distribution, or more specifically, the residuals should have a normal distribution. The logistic model makes the natural assumption that the outcome follows a binomial distribution.

Survival models usually assume proportional hazards; i.e. that the relative risk is constant over time.

 

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