Timeline for Is there a software package designed to automatically check the assumptions of various statistical tests?
Current License: CC BY-SA 3.0
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| Jul 2, 2012 at 13:58 | comment | added | Aniko | @mljrg Wrong conclusion! Doing a normality test is meaningless, but that does not mean that normality-based tests cannot be used. However, time-to-event variables such as elapsed time are usually quite skewed and heteroskedastic (external information!) It is easy to misinterpret even non-parametric tests under these conditions. Other options such as a log-rank test might be a good alternative. But, to reiterate, you need to incorporate your knowledge about the outcome variable. | |
| Jul 1, 2012 at 12:41 | comment | added | mljrg | I completely agree with your points about the need of outside knowledge to decide which test, but once you use that knowledge to pick a test, I think the test could further automate some other assumptions. My dataset comprises a dependent variable "elapsed time" measured for three treatments, but since the size of the treatments are small (<= 21), from what you said I conclude that checking for normality is meaningless, so I should go for a non-parametric test (Kruskal-Wallis). Thanks. | |
| Jun 30, 2012 at 20:14 | history | answered | Greg Snow | CC BY-SA 3.0 |