Question

How can I compare ordered logistic regressions to binomial logistic regressions?

Answer 1

Logistic regression:

It is a statistical model, its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist.

In regression analysis, logistic regression is estimating the parameters of a logistic model (a form of binary regression).

It is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events.

Binomial logistic regression:

predicts the probability that an observation falls into one of two categories of a dichotomous dependent variable based on one or more independent variables that can be either continuous or categorical.

logistic regression model is a simple extension of the binomial logistic regression model. They are used when the dependent variable has more than two nominal (unordered) categories. In multinomial logistic regression the dependent variable is dummy coded into multiple 1/0 variables.

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