The determination of the functional form of the relationship between an outcome variable and one or more continuous covariates is an important aspect of the modelling of medical data. For correct interpretation of the data it is essential that the functional form be speci"ed at least approximately c
Choice of Scale and Asymmetric Logistic Models
โ Scribed by Prof. Walter W. Hauck
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 390 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
I n recent years, a number of authors have proposed generalizations to the binomial logistic model. These proposals were motivated, in part, by the claimed inability of the logistic model to fit asymmetric data, that is, data that d m not follow a symmetric S-shaped curve. In this note, i t is demonstrated that by changing the scale of the independent variable(s), the logistic model can fit asymmetric data. Logistic models are fit to data from BLISS (1935) that had been used as an example by three of the authors; the logistic models fit Blise' data as well as the proposed alternative models. In a general sense, theae data serve as an example of the need to consider the appropriate choice of scale of the independent variables in logistic analysis.
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