![]() ![]() Power of the model: Comparing the model with only sex as the predictor and the multivariable model, it can be seen that the 95% CI for sex in the multivariable model (95% CI: 0.0558 to 0.122) is wider than the univariate model (95% CI: 0.0580 to 0.112).This means that the multivariable model is a better model as compared to the former. Comparing the model with only sex as the predictor and the multivariable model, the AIC are 921.8 and 717.4. The lower the AIC value, the better is the model. ![]() AIC (Akaike Information Criterion): This metric explains that relative quality of the model and depends on two factors: the number of predictors in the model and the likelihood that the model can reproduce the data.There are also some concepts related to logistic regression that I would also like to explain on ![]()
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