A one-sample log-rank test can indicate whether survival times appear to be characterized by a constant hazard rate.

To perform a one-sample log-rank test for constant hazards:

- In the Summary view, use the confidence slider to choose a desired confidence level
- Choose the date or numeric column of interest on the left
- Ensure the column is being treated as survival times (Column > Treat Column Data As > Survival Times)
- Ensure that no columns are selected in the covariate table on the right
- The result of the one-sample log-rank test will appear in the Bottom Line

If the data are censored (that is, if some of the recorded survival times do
not represent failure events), use the *Censoring* button to define which
observations are censored.

See also:

- Treating a column as survival times
- Viewing a survival curve of a numeric or date column
- Performing a log-rank test for the equality of hazard rates across values of another column
- Performing a log-rank test for the equality of hazard rates of two or more columns
- Formatting descriptive and inferential statistics
- About the Summary view
- About proportional hazards models