To briefly overview the Bayesian paradigm, denote by Y an outcome variable such as a student's score on the ECLS-K reading proficiency assessment.
To test H2.3, (PEP is associated with fewer reports of syringe confiscation), we will fit a Generalised Poisson Regression Mixed Model, with the rate of syringe confiscation by police as an outcome variable.
To test H2.5, which is that the PEP will be associated with significant increases in the use of barrier protection during pat-downs and arrests, we will fit a Poisson Regression Mixed Model with random effect, with the rate of using gloves (per police officer per PWID stopped by police) as an outcome variable.
We studied this as an outcome variable by creating a logistic regression model with computerized medication order entry as the dependent variable.
Quantile regression is a statistical approach of modelling different sample percentiles ('quantiles') of an outcome variable by a number of explanatory variables [12], [20], [21].
There are several problems with representing the potentially complex relationship between an initially continuous exposure and an outcome variable by a single OR and 95% confidence interval (CI).
The authors calculated odds ratios (ORs) by considering a bacterial colonization as an outcome variable and another bacterial colonization as an exposure variable.
We also investigated potential predictors of improved motivation to change by using ANSOCQ at discharge as an outcome variable in a multiple regression model.
Supplementary analyses were also performed by using relapse-free survival as an outcome variable; relapse-free survival time was defined as the number of years between the date of diagnosis of breast cancer and the date of any type of relapse, including local, regional, and distant relapses of the disease.
In the bird assessment, an appropriate measure for an outcome variable is suggested by Rita (Table 3, 3.Bird.C).
