This report tracks a pair of findings measurements over time with an animated
bubble plot
. Values are linearly interpolated over time. You can select subjects of interest to display their time profiles.
For the LB domain, lab measurements are standardized by a reference midrange derived from the lower limit of normal (LLN) and upper limit of normal (ULN) to facilitate comparisons. The
standardization
centers the values at the midpoint between the LLN and the ULN and scales by (ULN - LLN)/2.
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
Findings Bubble Plot
with the
Nicardipine
sample setting and
LB
findings domain generates the tabbed
Results
shown below.
Note
: For this example, an
Ending Time Value
of
14
was entered on the
Display
portion of the
Options
dialog
because most measurements were taken only in the first two weeks of the study.
Displays a JMP
Bubble Plot
of findings values for each subject in a study that can be animated to view findings measurements across the study days or weeks of a trial.
Note
that the name of the section is dependent on the current findings domain being analyzed. The section is named "
Bubble Plot of XX
" where
XX
is the domain specified on the
dialog
.
This section contains one JMP
bubble plot
to display findings measurements across time. (See
Bubble Plot
for a
general
description of bubble plots.)
This plot is useful for viewing findings measurements and their trends across time through animation. Two findings measurements are selected by default to be shown on the
X
axis and
Y
axis. Default measurements plotted by domain are as follows:
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vital signs (
VS
)
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electrocardiograms (
EG
)
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Alternatively, you can specify the two tests that are to show on the axes on the
Display
tab of the input
dialog
.
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Each point or "bubble" represents the pair of findings measurements for a subject, colored by treatment
arm
or the selected treatment
variable
. Treatments are represented by the colors shown in the
Treatment Legend
. The animation can be started by clicking on the
play
(
)
button
found with other
Plot and Animation Controls
at the bottom of the plot. When you click
play
, you start to see the bubbles move to show each subject's measurements for the findings plotted as study day (or week) progresses. Note that by default, the analysis linearly interpolates findings values for time points when a test was not measured. This is similar to viewing a time line display and drawing a line between points of measurement. The
Linearly interpolate values
option is checked by default on the dialog so that bubble points do not appear and disappear in the visualization.
)
button
found with other
Plot and Animation Controls
at the bottom of the plot. When you click
play
, you start to see the bubbles move to show each subject's measurements for the findings plotted as study day (or week) progresses. Note that by default, the analysis linearly interpolates findings values for time points when a test was not measured. This is similar to viewing a time line display and drawing a line between points of measurement. The
Linearly interpolate values
option is checked by default on the dialog so that bubble points do not appear and disappear in the visualization.
The
Time Unit
is shown in
gray text
in the
white space
of the plot. You can stop the display by clicking the
pause
(
)
button
, or use the other
Plot and Animation Controls
to view the plot at a specific time point (
step backward
(
)
button
,
step forward
(
)
button
, or
Study Day of Specimen Collection
slider), increase or decrease the speed of the animation (
Speed
slider), or change the size of the bubbles (
Circle Size
slider).
)
button
, or use the other
Plot and Animation Controls
to view the plot at a specific time point (
step backward
(
)
button
,
step forward
(
)
button
, or
Study Day of Specimen Collection
slider), increase or decrease the speed of the animation (
Speed
slider), or change the size of the bubbles (
Circle Size
slider).
If you are analyzing laboratory measurements, the tests can be normalized by the ULN, LLN, or a Geometric method that references both ULN and LLN. Tests can also be transformed to
log
scaling. An
Axis Legend
on the right of the plot shows how gray reference lines or gray boxes of reference are drawn to highlight abnormal measurements.
Variable Roles
are shown in boxes along the top of the bubble plot. These roles can be used to change the view to show alternate findings tests on the
X
and
Y
axes.
The bubble plot displayed in this section is very useful to learn how your findings data behaves across the time of the trial. It is particularly informative at highlighting outliers in your data or measurements at an unusually high or low value for an unexpected length of time during the trial. This is especially useful with the laboratory measurements for evaluation of
hepatotoxicity
following Hy's Law. For
electrocardiograms
, it can highlight cardiotoxicity by showing extended QT intervals at given heart rate measurements. Subjects that show unusual temporal measurement in this plot can be easily profiled. Alternatively, the other available action button downs can be used to gather more information about your study.
This enables you to subset subjects based on demographic characteristics and other factors. Refer to
Data Filter
for more information.
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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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•
|
Profile Subjects
: Select subjects and click
to open the
ADSL
(or
DM
if
ADSL
is unavailable) of selected subjects.
|
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•
|
Cluster Subjects
: Select subjects and click
to cluster them using data from available
covariates
. See
Cluster Subjects
for additional information.
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•
|
Demographic Counts
: Select subjects and click
to create a data set of
USUBJID
s, 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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•
|
Graph Time Trends
: Select one or more points on the
bubble plot
and click the
, as shown below, to drill down to a
Trellis Plot
for each subject selected.
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Initially, the plots display the two Findings tests that were shown on the
X
axis and
Y
axis in the original bubble plot on the
Y
axis (in this case (
BILI
and
ALT
levels), as shown below.
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You can select more
Findings
tests to add to the
Y
axis by clicking in the
Variables
panel on the left side of the plot and dragging selected tests to the right of the
Y
axis of one of the subject plots. For example, you can select
ALP
and
AST
by clicking on
ALP
, then while holding
, also click
AST
and drag them both over until the light blue box appears as in the following figure:
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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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Linearly interpolate values
,
Normalization of Lab Measurements
,
log Transformation of Lab Measurements
Additional Filter to Include Subjects
2
,
Merge supplemental domain
,
Include the following findings records:
,
Additional Filter to Include Findings Tests
,
Select the population to include in the analysis
,
By Variables
x-Axis Findings Test Short Name Value
,
Y-Axis Findings Test Short Name Value
,
Set custom reference lines for bubble plot
,
Set reference line for x-Axis
,
Set reference line for y-Axis
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
.