), then
click Data Mining Runs.After you specify parameters for a data mining run, the Run Options page appears.
1. In the
left navigation pane, hover on the Data
Analysis icon (), then
click Data Mining Runs.
2. At the top left of the Data Mining Runs home page, click Create Run.
3. On the Create Data Mining Run page, select the type of run to create and click Next.
4. On the Select "As Of" Date page, choose the latest date and time or select Other to choose a date and time. Then click Next.
5. Specify the MGPS data mining parameters or logistic regression events and drugs and click Next.
6. On the Run Options page, specify when to perform the run:
· Run as soon as possible—Perform the run right away.
· Do not run until—Schedule the run for a future date or time.
Tip: Schedule large runs, such as three-dimensional MGPS runs, for after your workday.
7. If you selected Do not run until, do the following:
· Type
a date in mm/dd/yyyy format, or click the calendar
icon 
and
select a date.
· Type a time in hh:mm:ss <am|pm> format.
8. To receive an email notification when the run is complete, select Email me when complete and specify one or more email addresses separated by commas.
· You receive an email whether the run succeeded or failed.
· By default, the email address associated with your Empirica Signal user name appears. To change the address associated with your user name, see your site administrator.
9. To save the intermediate data files that Empirica Signal produces during the data mining run, select Save intermediate data files.
Intermediate data files can include item dictionaries, count files, and so on. The files can be useful for understanding what occurred during the run and for troubleshooting.
Note: This option appears only if you have the Save Intermediate files user permission.
If you save intermediate data files, you can view the files on the Jobs for Run page.
10. For a logistic regression run, you can select Save coefficients to include the coefficient and standard error values computed for each predictor+response combination in the run in the logistic regression coefficients log file.
11. Click Next to continue by naming the run.