Odds ratios from logistic, geometric, Poisson, and negative binomial regression models.

ABSTRACT:

Background

The odds ratio (OR) is used as an important metric of comparison of two or more groups in many biomedical applications when the data measure the presence or absence of an event or represent the frequency of its occurrence. In the latter case, researchers often dichotomize the count data into binary form and apply the well-known logistic regression technique to estimate the OR. In the process of dichotomizing the data, however, information is lost about the underlying counts which can reduce the precision of inferences on the OR.

Methods

We propose analyzing the count data directly using regression models with the log odds link function. With this approach, the parameter estimates in the model have the exact same interpretation as in a logistic regression of the di

SUBMITTER: Sroka CJ 

PROVIDER: S-EPMC6195979 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature