- How much of a population will survive past a certain time?
- At what rate will the event occur?
- Should multiple variables be considered a cause?
Survival Analyses Supported by Prism
Prism is already formatted for the survival analysis test you want to run:
Kaplan-Meier Survival Analysisis a simple and common method to estimate the survival curve.
Cox Proportional Hazards Regressionmodel allows additional variables to be included, assuming that the hazard ratio when comparing two groups is constant over time.
Performing Simple Survival Analysis in Prism
See how to execute Kaplan-Meier 3 simple steps:
Enter Your data.The data table is already correctly structured according to the analysis you are running. The table incorporates the time elapsed, survival status, and additional variables if you are running cox proportional hazards regression analysis. If you do not have data yet, there is a sample data set prepared for you.
Run Your Analysis.Select either Kaplain Meier or Cox Regression analysis based on your use case. Both analyses have preselected parameters.
Customize Your Visualizations.You can use Prism's Analysis Checklists to investigate the assumptions and reduce errors in your analysis. You can also choose from hundreds of customization options to adjust your graphs and charts for clarity on the survival times, associations, assumptions, and comparisons.
Now you can confidently present publication-worthy visuals that highlight your most important findings in an elegant, consumable format.
- Graph Highlights & stars
- Automatically Labelled Graphs
- Improved Grouped Graphs
Involve your team at any step in the process.
Share your Survival Analysis data, analyses, and graphs in one click.
Access Other Survival Analysis Resources
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