Findings Shift Plots
This report displays shift plots to compare test measurements for a specified findings domain at baseline versus on-therapy values and performs a matched pairs analysis on average score during baseline and a summary score during the trial. A separate analysis is done for each findings measurement.
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.
Report Results Description
Running Findings Shift Plots for Nicardipine using default settings generates the report shown below.
It contains the following elements:
• One set of Shift Plots for each finding observed in the study.
These plots show how findings levels change from baseline values as a result of treatment. Blue points represent patients treated with nicardipine. Red points represent patients receiving the placebo. The approximately square spread of points (with a diagonal line splitting approximately even across it) indicates similar variability of measurements before and after treatment, although the placebo group appears to have greater variability in both cases compared to the treatment group (due to outliers).
Options
Domain
Use this widget to specify whether to plot the distribution of measurements from either the Electrocardiogram (EG), Laboratory (LB), or Vital Signs (VS) findings domains.
Summary Statistic for Trial Data
Use the Summary Statistic for Trial Data widgetto specify whether to display the mean, median, maximum, minimum, or last values to summarize the results of the trial period.
Normalization of Lab Measurements
Use this widget to select a normalization to be applied to the baseline and on-therapy measurements. Refer to Normalization of Lab Measurements for more information.
By default, JMP Clinical reports unaltered laboratory measurement values. In any cases, simply examining the raw numbers can make interpretation somewhat confusing. Normalization of Lab Measurements to accepted values can often ease these difficulties. JMP Clinical offers three options for normalizing your data.
Selecting LLN normalizes the data to the lower limit of the expected normal range and is best used when you expect the values to fall below the normal. Normalized values less than one are considered to be lower than normal.
Selecting ULN normalizes the data to the upper limit of the expected normal range and is best used when you expect the values to exceed the normal range. Normalized values greater than one are considered to be higher than normal.
log Transformation of Lab Measurements
Log transformations can make certain response distributions closer to Gaussian with constant variance and can enable you to draw more accurate statistical conclusions under standard modeling assumptions. They are especially useful for ratio-type measurements or measurements that are always positive and skewed to the right. You can use the log Transformation of Lab Measurements options to either use non-transformed data or to log2- or log10-transform your measurements.
Remove unscheduled visits
You might or might not want to include unscheduled visits when you are analyzing findings by visit. Check the Remove unscheduled visits to exclude unscheduled visits.
Calculate baseline as:
Use the Calculate baseline as: widget to use the last recorded pre-dose measurement or the mean of all the measurements taken during the baseline time window as the baseline measurement.
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 Subject Explorer/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
No testing is performed. Analysis is restricted to calculating simple statistics of findings results or their log transformed and normalized values.