Clinical trial graphs samples

Analysis of most (perhaps 65%) pharmacokinetic data from clinical trials starts and stops with noncompartmental analysis (NCA). NCA usually includes calculating the area under the curve (AUC) of concentration versus time, or under the first-moment curve (AUMC, from a graph of concentration multiplied by time versus time). Calculation of AUC and AUMC facilitates simple calculations for some standard pharmacokinetic parameters and collapses measurements made at several sampling times into a single number representing exposure. The approach makes few assumptions, has few parameters, and allows fairly rigorous statistical description of exposure and how it is affected by dose. An exposure response model may be created. With respect to descriptive dimensions these dose-exposure and exposure-response models... 

Common Clinical Trial SAS/GRAPH Procedures 205 Using the Annotate Facility for Graph Augmentation 206 Sample Graphs 207... 

Common clinical trial graphics are the focus of this chapter. First, we discuss the types of graphs that are most often encountered in clinical trial analysis and reporting. Then we examine the various tools that SAS provides to help produce these graphs. Sample graph programs are provided to show how many of these graphs can be produced. 

Another commonly used graph in clinical trials is the line plot. A line plot lets you display the count or measure of something on the Y axis across some other dimension on the X axis. The following is a sample line plot where each line represents a treatment regimen and the treatment response (Y axis) is measured across time (X axis). 

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