The logistic regression model can be represented with the following formula: Where the left side of the equation is the probability the outcome variable Y is 1 given the explanatory variables X . The ...

Regression of log serum concentrations or log urine concentrations on time elapsed after primary exposure ceases is a common method for estimating the elimination rates and corresponding half ...

In this equation, y is the dependent variable, c is a constant, b 1 is the first regression coefficient, and x 1 is the first independent variable. The second coefficient and second independent ...