Tools

Survival analysis

Calculator

  Sample 1
Enter the survival time and censor data as two columns, tab-delimited.
Time | Censored
Alpha

Result


Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.

Calculator

Sample 1 Sample 2
Alpha
Tail / side

Result


Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.


Information

Kaplan-Meier plot
To produce a survival curve of the Kaplan-Meier estimate of a single sample, enter each observations on a new line but followed by a tab and its censor data (0 = censored, 1 = event/failed).

Log-rank Test
Comparison of two survival curves can be done using a statistical hypothesis test called the log-rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population). This function uses the Kaplan-Meier procedure to estimate the survival function. Enter the data as described above.

Cox proportional hazards regression
The survivor tool will calculate the hazard ratio using Cox's proportional hazards regression.