Prism is purpose-built for scientists to easily perform Survival Analysis, which estimates the lifespan of a population over the timespan of an experiment. More specifically, Survival curves graphically represent the data collected in these experiments, showing the relationship between elapsed time and survival probability. If survival curves for different groups or populations have been generated (using the Kaplan-Meier estimation method), these can be compared using the log rank test.
Ultimately, Survival Analysis can be used to answer many questions such as:
- 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
Kaplan-Meier Survival Analysis
A simple and common method to estimate the survival curve.
Cox Proportional Hazards Regression
A model which allows additional variables to be included, assuming that the hazard ratio when comparing two groups is consistent over time.