Running Constant Findings for
Nicardipine using default settings generates the report shown below.
The Report contains the following elements:
Multiple sections, one for each findings domain, that contain the variable specified by the
Analyze: option on the
dialog. Data that are summarized are those test codes that are constant throughout the course of the study. One example is the ECG Test Results section
The ECG Test Results section contains the following elements:
No testing is performed. Within each patient (and set of BY-values based on xxCAT,
xxSCAT,
xxLOC,
xxMETHOD,
xxPOS,
xxSPEC, and
xxTPT, if selected), this report identifies tests with no changes in the selected analysis value across the entire trial.
You can specify whether to search all results in original units when you Analyze: the data or restrict the search to either character results (in standard format) or numeric results (in standard units).
You can opt to Consider BY variables in the analysis. This option, which assumes that BY variables (left vs. right arm for collecting blood pressure data, for example) are included in the experimental design, is selected by default. You can uncheck this option to ignore BY variables.
Use the Only include BY variables if they are domain keys option to subset the available variables to only include those variables that are domain keys. If the option is unchecked, the report uses the cross-classification of
xxCAT,
xxSCAT,
xxLOC,
xxMETHOD,
xxPOS,
xxSPEC, and
xxTPT for creating by groups for all variables that are available (as it had in the past).
The Summarize sites with at least this many subjects: option enables you to set a minimal threshold for the sites to be analyzed. Only those sites which exceed the specified number of subjects are included. This feature is useful because it enables you to exclude smaller sites, where small differences due to random events are more likely to appear more significant than they truly are. In larger sites, observed differences from expected attendance due to random events are more likely to be significant because any deviations due to random events are less likely to be observed.
The Subset of Visits to Analyze options enables you to restrict to a specific subset of visits in your search for tests with similar and questionable results.