For diseases with a genetic component, logistic regression models are presented that incorporate family history in a quantitative way. In the largest model, every type of relative has their own regression coefficient. The other two models are submodels, which incorporate family history either by the
Application of Logistic Regression and Logistic Discrimination in Medical Decision Making
β Scribed by E. Dietz
- Publisher
- John Wiley and Sons
- Year
- 1987
- Tongue
- English
- Weight
- 269 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
The logit linear model has been shown to be very useful for investigations in many fields of biology and medicine. One kind of application of this model is that of logistic discriminant analysis. To conquer wme theoretical disadvantages of logistic discriminant analysis and Fisher's linear diacriminant analysis too, it has been recommended to augment their model equations with appropriate interaction terms. The present paper discussee experiences with epidemiologic data going this way.
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