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Viewing Output from the Different Analysis Types

There are a number of different analysis types you can execute in Joinpoint. Within the Output window, each is displayed slightly differently.

Standard Joinpoint Regression Analysis

A standard regression analysis is one where no special options are selected and is the most common type of Joinpoint analysis. Within the Output Window, a standard analysis is displayed in the Cohort Tree as a list of By-Variable combinations where each resultant cohort contains the model results for the joinpoint numbers requested by the user.

Pairwise Comparison Analysis

A Pairwise Comparison is performed by selecting the “Pairwise Comparison” option on the Advanced Analysis Tools tab of the Session window. The results of a Pairwise Comparison analysis will be displayed in a similar fashion to a Standard Analysis except that an additional By-Variable level named “Coincident / Not Coincident” or “Parallel / Not Parallel” will be present. This added level will be above the last By-Variable. Within Coincident or Parallel you can select only one model. However, under Not Coincident or Not Parallel, you can select one model from each of the lowest level By-Variables. For either selection, you will get two graphs and two groups of data displayed.

Details on the Pairwise Comparison Analysis may be found here.

Delay / Non-Delay Data Analysis

A Delay / Non-Delay analysis is performed when “Delay & Non-Delay Data” is selected for the Run Type on the Input File tab of the Session window. In addition to the normal By-Variables, a new lowest level By-Variable is created for Delay and Non-Delay. You can select one model from Delay, and one model from Non-Delay. Both models will be displayed on the graph at the same time, and in each of the data grids.

More information on Delay Adjusted Statistics may be found here.

Jump Model / Comparability Ratio / Standard Joinpoint Analysis

A Jump Model / Comparability Ratio analysis is performed when “Jump Model” or “Comparability Ratio” is selected for the Jump Model / Comparability Ratio on the Advanced Analysis Tools tab of the Session window. On the Output Window, a new lowest level By-Variable will be created for each of your selections. For example, if you selected Jump Model and Include Standard Joinpoint Analysis, each of the joinpoint models would be broken out by Jump Model and Standard Joinpoint Model. You can select one model from each different type to display.

Details on the Jump Model / Comparability Ratio Analysis may be found here.

Delay / Non-Delay with Jump Model / Comparability Ratio / Standard Joinpoint Analysis

The Jump Model / Comparability Ratio / Standard Joinpoint Analysis options can be used with Delay / Non-Delay data.  When this occurs, each Delay / Non-Delay cohort data set will have results for each of the selected analysis types (Jump Model, Comparability Ratio, and Standard Joinpoint Analysis).  The cohort tree will reflect this.