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Application of generalized link functions in developing accident prediction models

✍ Scribed by Karim El-Basyouny; Tarek Sayed

Book ID
118501217
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
299 KB
Volume
48
Category
Article
ISSN
0925-7535

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In prediction model development, continuous variables are often dichotomized at empirically chosen thresholds to simplify calculations and facilitate decision making. However, these choices are often made in the absence of estimated covariate effects and may be inaccurate, thus weakening the models.