Binary Logistic Regression

This example applies to the Healthcare Module. For more information, go to www.minitab.com/healthcare-module.

Example

In this worksheet, Readmitted is the response. The response event is Yes. Age is a continuous predictor, and Discharged To is a categorical predictor.

C1-T	C2	C3-T
`Readmitted`	`Age`	`Discharged To`
No	69	Home
Yes	78	Home
No	39	Hospital
No	83	Skilled Nursing

How-to

From the Healthcare KPIs: Predict 30-Day Readmissions dialog box, select Binary Logistic Regression, then click OK.
From the drop-down list, select Response in binary response/frequency format.
In Response, enter the column that contains the binary variable indicating whether the patient was readmitted. Binary variables are categorical variables that have two possible levels, such as pass/fail or true/false. The response is also called the Y variable.
In Response event, select the value that represents a readmission.
(Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values.
In Continuous predictors, enter the continuous variables that may explain or predict whether the patient was readmitted. The predictors are also called X variables.
In Categorical predictors, enter the categorical classifications or group assignments, such as facility, that may explain or predict whether the patient was readmitted. The predictors are also called X variables.
Click OK.

Tip

For more information about this analysis, click Help in the main dialog box.