The Comparison of Logistic Regression Models
On Analyzing the Predictors of Health of Adolescences, having Multinomial Response in Jimma Zone South West Ethiopia
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Here i am applying Baseline category logit model, proportional odds model, continuation ratio model and adjacent category logit model and comparing them and selecting the efficient model for interpreting the factors that affect the health rate of adolescences in Jimma zone, South West Ethiopia! Accordingly, the proportion odds model (satisfies the assumption) is the efficient model for this data set, and the interpretation is based on it! Hence, sex, educational status and source of water have significant impact on the health rate of adolescences.
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