Running
Findings Time Trends
with the
Nicardipine
sample setting and
LB
findings domain generates the report shown below.
The
Report
contains the following sections:
The
Treatment Time Trends
section contains the following elements:
|
•
|
A set of
Treatment Level Time Trend Plots
|
If findings test category (
xxCAT
) exists (where
xx
represents the two-letter domain abbreviation -- for example,
LB
), these plots are first ordered by
xxCAT
. Next, if findings test subcategory (
xxSCAT
) exists, plots are secondarily ordered by
xxSCAT
. If
xxCAT
is missing, plots are ordered by test short name (
xxTESTCD
), which is required. Findings tests with a missing
xxCAT
value are assigned to the “
OTHER
” category.
Note
: Findings tests with a missing numeric result (
xxSTRESN
), as well as those taken on only one day, are excluded from these plots.
Tip
: You can collapse categories (and simultaneously exclude them from any report that you create) by clicking on the
gray triangles
located to the left of the category labels.
Each plot displays the
means
of the measurements taken across time for each treatment
arm
in a study for a quantitative findings test. The value of
xxTEST
(where
xx
represents the two-letter domain abbreviation -- for example,
LB
) is displayed in the outline box for each plot, and the test short name (
xxTESTCD
) is displayed along with the measurement units (where applicable) on the
Y
axis. The
Y
axis can represent the observed test result, the change from baseline, percent change from baseline, or percent of baseline, depending on the selection made for the
Plot findings measurements as:
parameter on the report
dialog
. Time, as either Study Day, Study Week, or Visit, is plotted on the
X
axis (according to your
Time Scale
selection).
Time trend lines
connect the points of measurement; each marker point represents the average findings measurement for subjects belonging to that treatment arm at the measured time point.
The
Y
axis can optionally be displayed with
log scaling
(this is very useful for interpreting laboratory findings). In addition, you can choose to compute and show
standard error
bars
at each measured time point for each treatment group. These standard error bars can be helpful in visualizing significantly different measurements for a findings test at certain time points. Note that standard error calculations depend heavily on the number of measured subjects at a specific time point. These plotting options are found on the
Output
tab of the report dialog.
The time trend lines are
interactive
. Selecting a line selects all subjects belonging to the treatment group the selected line represents. You can then use the down buttons to profile, cluster, or show these subjects or to create a subject filter to do further analysis only with the selection of subjects. Selecting a treatment time trend line also selects and highlights all the individuals' subject time trend lines on the accompanying
Subject Time Trends
section that is part of the output from this report.
|
•
|
If findings test category (
xxCAT
) exists (where
xx
represents the two-letter domain abbreviation -- for example,
LB
), these plots are first ordered by
xxCAT
. Next, if findings test subcategory (
xxSCAT
) exists, plots are secondarily ordered by
xxSCAT
. If
xxCAT
is missing, plots are ordered by test short name (
xxTESTCD
), which is required. Findings tests with a missing
xxCAT
value are assigned to the “
OTHER
” category.
Note
: Findings tests with a missing numeric result (
xxSTRESN
), as well as those taken on only one day, are excluded from these plots.
Tip
: You can collapse categories (and simultaneously exclude them from any report that you create) by clicking on the
gray triangles
located to the left of the category labels.
Each plot displays the measurements taken across time for each subject in a study for a quantitative findings test. The value of
xxTEST
is displayed in the outline box for each plot and the test short name (
xxTESTCD
) is displayed along with the measurement units (where applicable) on the
Y
axis. The
Y
axis can represent the observed test result, the change from baseline, percent change from baseline, or percent of baseline, depending on the selection made for the
Plot findings measurements as:
parameter on the report
dialog
. Time, as either Study Day, Study Week, or Visit, is plotted on the
X
axis (according to your
Time Scale
selection). Time trend lines connect the points of measurement; each marker point represents the findings measurement for each subject at the measured time point. If multiple measurements were taken for a subject on the same Study Day, Study Week, or Visit, the point represents the
mean
measurement for that subject.
The
Y
axis can optionally be displayed with
log scaling
(this is very useful for interpreting laboratory findings). For the
LB
domain, you can also choose to draw
reference limits
by checking the
Show ULN and LLN reference lines for lab tests
option on the dialog. If there are multiple reference limits for a lab test, the maximum ULN (as measured by
LBSTNRHI
) and the minimum LLN (
LBSTNRLO
) are displayed.
The time trend lines are
interactive
. Selecting a line selects that subject. You can then use the down buttons to profile, cluster, or show selected subjects, or create a subject filter to do further analysis only with the selection of subjects.
This enables you to subset subjects based on demographic characteristics and other factors. Refer to
Data Filter
for more information.
|
•
|
Profile Subjects
: Select subjects and click
to generate the patient profiles. See
Profile Subjects
for additional information.
|
|
•
|
Show Subjects
: Select subjects and click
to open the
ADSL
(or
DM
if
ADSL
is unavailable) of selected subjects.
|
|
•
|
Cluster Subjects
: Select subjects and click
to cluster them using data from available
covariates
. See
Cluster Subjects
for additional information.
|
|
•
|
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
Demographic Counts
in any report
dialog
.
|
|
•
|
Click
to view the associated data tables. Refer to
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 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 the
arrow to reopen the completed report dialog used to generate this output.
|
|
•
|
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.
|
Findings Domain to Analyze
,
Findings Domain Tests for Analysis
,
Treatment or Comparison Variable to Use
,
Treatment or Comparison Variable
Plot findings measurements as:
,
Plot average time trends across treatment groups
,
Normalization 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
Restrict plots to measurements within a starting time and ending time
,
Starting Time Value
,
Ending Time Value
Show standard error bars for treatment group time trends
,
Use log scaling to display findings test measurements
,
Show ULN and LLN reference lines for lab tests
,
Overlay visits when treatment crossover is detected
,
Pool subjects in average time trend plots when treatment crossover is detected
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
.