Perfect Scheduled Attendance
This report compares the distribution of study visit days for each center compared to all other centers combined, and identifies unusual differences. For example, a site where all visits occur on the same study day can be flagged for further investigation.
Report Results Description
Running this report with the Nicardipine sample setting and default options generates the output shown below.
The Perfect Scheduled Attendance report initially shows one Volcano Plot
Each point represents the comparison of a site to all other sites. This comparison is used to determine whether there is a difference in distribution for perfect attendance and is done for all sites across all tests in all findings domains.
The Y axis is the -log10(Raw Row Mean Score p-value). Large numbers indicate statistically significant results.
The X axis is the maximum percent difference across all visits between a site versus all sites.
Values far from 0 indicate important differences between a site and the reference distribution of all other sites. An FDR line is indicated by the dotted red line. Values above this line (Such as site 39, above) can be considered significant adjusting for multiple comparisons. This could identify rounding issues or other problems with how a site reports a particular test compared to other sites.
Note: In the example shown above, the vast majority of the study sites (circled above) show little or no differences in Perfect attendance. In fact, the points representing these sites overlap such that individual sites cannot be differentiated at this scale.
Report Filter
This enables you to subset your data based on study site and/or visit number. Refer to Data Filter for more information about how to use the Data Filter.
Options
Data
Remove Unscheduled Visits
Unscheduled visits can occur for a variety of reasons and can complicate analyses. By default, these are excluded from this analysis. However, by unchecking the Remove unscheduled visits box, you have the option of including them.
Summarize sites with at least this many subjects
The Summarize sites with at least this many subjects: widget 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.
Note: This option applies only to the volcano plot. Small sites are still included in the "Not Site X" bin.
Alpha
The Alpha option is used to specify the significance level by which to judge the validity of the statistics generated by this report. By definition, alpha represents the probability that you will reject the null hypothesis when the null is, in fact, true. Alpha can be set to any number between 0 and 1, but is most typically set at 0.01, 0.05, or 0.10. The higher the alpha, the lower your confidence that the results you observe are correct.
General and Drill Down Buttons
Action buttons, provide you with an easy way to drill down into your data. The following action buttons are generated by this report:
| • | Click  to rerun the report using default settings. |
| • | Click  to view the associated data tables. Refer to Show Tables/View Data for more information. |
| • | Click  to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected sections. |
| • | Click  to generate a JMP Live report. Refer to Create Live Report for more information. |
| • | Click  to take notes, and store them in a central location. Refer to Add Notes for more information. |
| • | Click  to read user-generated notes. Refer to View Notes for more information. |
| • | Click  to open and view the Review Subject Filter. |
| • | Click  to specify Derived Population Flags that enable you to divided the subject population into two distinct groups based on whether they meet very specific criteria. |
Default Settings
Refer to Set Study Preferences for default Subject Level settings.
Methodology
This report compares the observed distribution of study day for each visit with each site compared to all other sites taken together as a reference. The comparison is made using a row mean score chi-square tests as described for Digit Preference, with study day replacing digit as the column variable.
FDR p-values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)?.