Note
: JMP Clinical uses a special protocol for data including non-unique Findings test names. Refer to
How does JMP Clinical handle non-unique Findings test names?
for more information.
Running
Missing Findings
for the
Nicardipine
study using default settings generates the report shown below:
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•
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One
Data Filter
.
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Enables you to subset subjects based on country of origin, study site and/or Test. Refer to
Data Filter
for more information.
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You can mouse over points of interest to see their labels or select points by dragging a mouse rectangle over them (as shown above). Selected Findings tests are highlighted in other plots and you can also then click on various
Down Buttons
for further analyses on those specific sites.
See
Volcano Plot
for more information.
Note
: This test is usually not performed at every visit and so is normally not considered in this analysis. This section is not generated in the
Nicardipine
example. Refer to the ECG Test Results for one of the other reports (such as
Frequencies
, for example) for more information.
Note
: This test is usually not performed at every visit, and so is normally not considered in this analysis. This section is not generated in the
Nicardipine
example. Refer to the Laboratory Test Results for one of the other reports (such as
Frequencies
, for example) for more information.
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Data Filter
: Enables you to filter data based on study site and country.
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Distributions
: Displays histograms showing distribution of vital signs findings across study sites, tests, and visit numbers,
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Show Sites
: Shows the rows of the data table for the selected points from the
volcano plot
. Clicking
opens the following table:
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Missing Bar Charts
: Select points on the volcano plot and click
to display a bar chart for each point showing the proportions of missing and nonmissing records for the site as compared with the average of all of the other sites.
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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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Show Records with Missing Test Results
: Select one or more histograms and click
to open a subset table containing all of the missing tests for the selected subjects.
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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 determines whether tests are expected or not at each visit according to dialog option (default 85%). If 85% of patients at a particular visit and/or time point have a test measured, this test is expected (assuming that the subjects have had the opportunity to attend this visit). Among expected tests and for each test, the proportion of “missingness” is calculated for each site (the suspect site, indexed with
s
) compared to all other sites taken together as a reference (indexed as
o
) using a 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)?
.
Summarize sites with at least this many subjects:
,
Remove tests when percentage of subjects expected for a test is equal to or below:
,
Remove unscheduled visits
,
Special visit numbers
Additional Filter to Include Subjects
2
,
Merge supplemental domain
,
Select the population to include in the analysis
Subject-specific filters must be created using the
Create Subject Filter
report prior to your analysis.
For more information about how to specify a filter using this option, see
The SAS WHERE Expression
.