Running this report with the Nicardipine sample setting and default options generates the output shown below.
The Weekdays and Holidays report initially shows a Weekdays and Holidays Volcano Plot and the Distribution Details.
Note: In those instances where a study is conducted at one site only, no volcano plot is generated.
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One Data Filter.
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Enables you to subset subjects based on country of origin and study site. Refer to Data Filter for more information.
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One Volcano Plot.
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See Volcano Plot for more information.
Summarizes several Histograms describing characteristics of visit dates, demography dates, and medical history dates.
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Histograms detail the levels and frequencies of Holidays, Day of Week (Weekday), Country of Study Site, Study Site identifier, and Date Label (whether the date refers to a Visit Date or the date Medical History or Demography information are collected).
See Distribution for more information.
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One Data Filter.
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Enables you to subset subjects based on country of origin, study site, and holidays and weekdays.. Refer to Data Filter for more information.
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Show Sites: Shows the rows of the data table for selected points (in this example, the points shown in the figure above) from the volcano plot.
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opens the following table:
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Visit Bar Charts: For the points selected in the volcano plot, clicking
 displays a bar chart comparing the percent of subjects with visits occurring on specific weekdays and holidays between selected sites versus all others. This gives the user the ability to compare just how different each site is. The following chart shows the sites/tests selected above: |
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Profile Subjects: Select subjects and click
 to generate the patient profiles. See Profile Subjects for additional information. |
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Show Subjects: Select subjects and click
 to open the ADSL (or DM if ADSL is unavailable) of selected subjects. |
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Demographic Counts: Select subjects and click
 to create a data set of USUBJIDs, which subsets all subsequently run reports to those selected subjects. The currently available filter data set can be applied by selecting Apply Subject Filter in any report dialog. |
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Click
 to view the associated data tables. Refer to View Data for more information. |
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Click
 to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected sections. |
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Click
 to take notes, and store them in a central location. Refer to Add Notes for more information. |
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Click
 to read user-generated notes. Refer to View Notes for more information. |
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Click the arrow to reopen the completed report dialog used to generate this output.
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Click the gray border to the left of the Options tab to open a dynamic report navigator that lists all of the reports in the review. Refer to Report Navigator for more information.
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This report compares the weekend (weekend or not) or holiday (holiday or not) status of study visit dates with each site compared to all other sites taken together as a reference. Comparisons are performed using Fisher's exact test. FDR p-values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)?.
This report helps you determine whether visit dates fall on either weekends and/or holidays, which might be unusual and call for closer examinations of the data. You can Derive visits from: either from the SV domain or from the findings domains.
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.
The Alpha option is used to specify the significance level by which to judge the significance of the deviation of the proportion of study visits at each study site that occur on specific weekdays and holidays with the overall proportions for the whole study. Alpha can be set to any number between 0 and 1, but is most typically set at 0.001, 0.01, 0.05, or 0.10. The higher the alpha, the higher the error rate but also higher the power for detecting significant differences. You will need to decide on the best trade-off for your experiment.
Filters enable you to restrict the analysis to a specific subset of subjects, based on values within variables. You can also filter based on population flags (Safety is selected by default) within the study data.
See Select the analysis population, Select saved subject Filter1, and Additional Filter to Include Subjects, for more information.
Subject-specific filters must be created using the Create Subject Filter report prior to your analysis.