SOCR EduMaterials AnalysisActivities Survival

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SOCR Analysis - SOCR Analyses Example on Survival Analysis Using the Kaplan-Meyer Method.

Go to the SOCR Kaplan-Meyer Applet. This example is based on a dataset from "Modern Applied Statistics with S" by Venables and Ripley, Fourth Edition, Springer, 2002. (Page 357) Note that the data is also available in the free statistical analysis tool R, the dataset gehan under the library MASS.

In this survival dataset, there are two types of treatment groups, denoted by 6-MP and control.

The analysis steps:

1. As you start the SOCR Analyes Applet, click on "Survival Analysis" from the combo box in the left panel.

SOCR AnalysisActivities Survival Chu 061407 Fig1.gif


SOCR AnalysisActivities Survival Chu 061407 Fig1A.gif


2. Then click the button "Example 1" and then "Data", you'll see the data displayed as below. Here, 0 denotes for censored data, and 1 denotes for non-censored data.

SOCR AnalysisActivities Survival Chu 061407 Fig1B.gif


3. You'll need to tell the computer which column is the time, treatment group, and censored/non-censored. This is done by "Mapping." Click on the "Mapping" button to assign columns to proper variables.

SOCR AnalysisActivities Survival Chu 061407 Fig2.gif

(Note that, since the columns C4 through C10 do not have data and they are not used, just ignore them.)


4. After we do the "Mapping" to assign variables, click on the "Calculate" button. Now we can let the computer show us the survival analysis results by click on the "Result" button.

SOCR AnalysisActivities Survival Chu 061407 Fig3.gif


5. To see the survival curves of the groups, click on the "Graph" button. The dark red and dark blue lines are the estimated survival curves. The light color ones are for the 95% CI bound. This is also shown in the plot legend. The RED and BLUE (dark blue) lines are the estimated survival curves, and the PINK and CYAN lines are their 95% CI.

SOCR AnalysisActivities Survival Chu 061407 Fig4.gif


Note: if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.





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