View details of a data mining run

  1. In the left navigation pane, hover on the Data Analysis icon (Data Analysis icon), then click Data Mining Runs
  2. From the Project drop-down list, select a project, or select -- to include all projects.
  3. From the Configuration drop-down list, select a data configuration, or select -- to include all configurations.
  4. Select the Row Action menu icon (Row Action menu icon) for a run, and then click View Run Details.

Different information appears for MGPS runs and LR runs.

MGPS runs

Field Description

ID

Automatically assigned, unique numeric identifier of the run.

Type

MGPS.

Name

Name supplied for the run.

Description

Description supplied for the run.

Project

The name of the project to which the run is assigned.

Configuration

Name of the data configuration used for the run.

Configuration description

Description of the configuration used for the run.

As of date

As Of date for the run, if the run is for timestamped data.

Database restriction

Database restriction, if any, associated with the run.

Item variables

Names of the item variables used in the run.

Custom terms

Custom terms, if any, specified for the run.

Stratification variables

Stratification variables, if any, used for the run.

Subsets

Subset variable, if any, as well as whether the subsets are cumulative, the order of subsets (if cumulative), and the subset labels and values.

Drug hierarchy

If the data configuration specifies a drug hierarchy, the name and version of the drug hierarchy used by this run.

Event hierarchy

If the data configuration specifies an event hierarchy, the name and version of the event hierarchy used by this run.

Highest dimension

The maximum number of ways in which items are combined. See Specify data mining parameters.

Minimum count

Minimum number of cases in which a combination of items must occur for the combination to be included in the MGPS computations for the run. See Specify data mining parameters.

Calculate PRR

Whether the run includes PRR computations.

Calculate ROR

Whether the run includes ROR computations.

Base counts on cases

For a run that includes PRR and ROR computations, indicates if counts are based on cases rather than drug-event combinations.

Use "all drugs" comparator

For a run that includes PRR computations, whether or not the comparator set includes the drug of interest.

Apply Yates correction

For a run that includes PRR computations, whether or not the Yates correction is applied.

Stratify PRR and ROR

For a run that includes PRR and ROR computations, whether or not the PRR or ROR computations are stratified.

Include IC

Whether the run includes Information Component computations.

Include RGPS

Whether the run includes RGPS computations.

Calculate RGPS interactions

Whether the run computes Drug+Drug interaction scores using RGPS.

Minimum interaction count

Minimum number of times that a drug must appear in Drug+Event reports for the application to calculate interaction estimates for the drug.

Fill in hierarchy values

Indicates whether the run option to use hierarchy information was checked.

Limit results to

Limitations on which results are kept based on statistical thresholds or specified values of item variables. See Specify data mining parameters.

Exclude single itemtypes

Indicates whether combinations of items of the same type were excluded from run results. See Specify data mining parameters.

Fit separate distributions

Indicates the setting for the advanced parameter to fit separate distributions for the different item type combinations.

Save intermediate files

Whether or not intermediate processing files for the run were saved. See Define data mining run options.

Created by

Name of the user who created the run.

Created on

Date and time at which the run was submitted.

User

Your username (name of the user who is viewing run details).

Source database

Information about the source data (from the source description table).

Logistic regression runs

Field Description

ID

Automatically assigned, unique numeric identifier of the run.

Type

LR. For runs completed prior to the installation of Oracle Empirica Signal version 7.1, LR (Legacy) appears.

Name

Name supplied for the run.

Description

Description supplied for the run.

Project

The name of the project to which the run is assigned.

LR type

The logistic regression used for the run, either extended or standard.

Configuration

Name of the data configuration used for the run.

Configuration description

Description of the data configuration used for the run.

As of date

If the run is for timestamped data, As Of date for the run.

Database restriction

Database restriction, if any, associated with the run.

Item variables

Names of the selected event and drug variables.

Custom terms

Custom terms, if any, specified for the run.

Coveriates

Variables, if any, selected as covariates for the run.

Drug values

Explicitly specified values of the drug variable included in the run, even if they do not meet the minimum number of times a drug must occur in combination with specified events.

Event values

Values of the event variable used in the run.

Minimum count

Minimum number of cases in which a drug must occur in combination with specified events to be included in the run (except for drugs explicitly specified as Drug values). See Guidelines for specifying drugs for logistic regression.

Run interactions

Whether or not the run calculates statistics for two predictors (such as drug+drug or drug+covariate) and a response.

Save coefficients

Whether or not the lr_coefficients.log file produced for the run includes the coefficient and standard deviation values calculated for the run.

Save intermediate files

Whether or not intermediate processing files for the run were saved. See Define data mining run options.

Created by

Name of the user who created the run.

Created on

Date and time at which the run was submitted.

User

Your username (name of the user who is viewing run details).

Source database

Information about the source data (from the source description table).