Graphs for 2D results

• Graphs for 2D results
  For two-dimensional results (for example, Drug+Event), the graph types are described in the following table. The graph types are available for MGPS runs. Some are available for logistic regression runs.
• View a bar graph
  In addition to the restrictions you specified on the Select Criteria page, you can include additional restrictions and display options.
• Bar graphs
  Bar graphs provide a straightforward way to display the items most closely associated with a specified drug or event, showing the strength of association by plotting each computed statistical score as the length of a horizontal bar.
• View a confidence interval graph
  Confidence interval graphs are similar to bar graphs but also include a confidence interval or error bar superimposed on each bar to show the 5% and 95% confidence limits.
• Confidence interval graphs
  A confidence interval graph is available for two-dimensional MGPS results and logistic regression results.
• View a discrete map graph
  Discrete map graphs provide a way to compare strength of associations between specified drugs and events across multiple discrete (non-cumulative) subsets.
• Discrete map graphs
  Discrete map graphs are available for two-dimensional MGPS results of data mining runs that use non-cumulative subsets.
• View a cumulative map graph
  Cumulative map graphs provide a way to compare strength of associations between specific drugs and events across multiple subsets, which are typically based on a continuous variable, such as Year.
• Cumulative map graphs
  
• View a sector map
  A sector map for data mining results is a visual presentation of data for a particular drug across all System Organ Classes (SOCs).
• Sector maps
  Sector maps are available for two-dimensional results of MGPS data mining runs.