Groups is the second stop on the hēRo3 Subway. Groups functionality allows you to model a heterogeneous population by defining different mutually exclusive groups of patients that constitute the population being modeled as well as the attributes on which these groups differ. If your model concerns a homogenous population, you can skip this step. Common uses of the group functionality include splitting up a patient population by age, gender, genetic markers, or other relevant demographic and/or clinical characteristics. Groups are displayed in tabular format, with each row representing a different group, specified as follows:
|
Column |
Description |
|
Name |
Name of the group. Names must start with a letter and may only contain letters, numbers, and underscores. Group names are limited to 20 characters in total length. |
|
Description |
Description of the group. Descriptions have no restrictions on the types of characters used and can be up to 30 characters in total length. |
|
Weight |
Relative weight for the group. When a model is run and more than one group is selected, outcomes and costs will be calculated as a weighted average, using the relative weights you have specified. Weights are automatically normalized over the groups you select for an analysis and do not need to sum to 1. |
|
Group Attributes (User-Specified) |
An additional column is displayed for each relevant group attribute. Attributes are special variables that can take on a different value for each group. Once you create an attribute, you must enter a value for it for each group. You can reference these attributes as variables in formulas. |
Groups can be included or excluded from analyses using the checkboxes on the corresponding row.
You can find descriptions of additional functionality available on this page, and other similarly structured pages, here.
