I'm conducting a survival analysis for my dissertation and have run into a bit of a road block about which test to use to look for differences in Kaplan-Meier curves between treatments.
A previous study that was similar in design to mine used the Wilcox-Gehan D test, but I want to make sure I am choosing the test with the most power for my study design. Briefly, I have two groups with relatively small sample sizes (n=10, n=27). In the control group, I randomly right-censored individuals to pair clinical findings with the experimental group mortalities.
Does anyone have strong opinions about which test would be most appropriate?
The tests I know of are:
- Mantel-Haenzel logrank test
- Peto & Peto logrank test
- Gehan generalized Wilcoxon ranksum test
- Peto & Peto & Prentice generalized Wilcoxon test
- Tarone & Ware modified Wilcoxon test
If I missed any please let me know! Thanks in advance!