Timeline for Validity of using a combination of Wilcoxon tests and Spearman rho as an alternative to GLM?
Current License: CC BY-SA 4.0
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| Dec 15, 2018 at 19:59 | comment | added | Heteroskedastic Jim | @Tilen I don't think you've missed anything. It is a difficult question with correct answer. Just different perspectives, some more thought out than others. There are wrong answers though. | |
| Dec 15, 2018 at 19:54 | comment | added | Tilen | I did in fact, and have asked related questions on this website as well (which can be seen through my profile). Still rather confused though. I'm sure I may have missed something, but I did spend a substantial amount of time on these issues. Many thanks to everyone for the answers provided though. | |
| Dec 15, 2018 at 12:33 | comment | added | Heteroskedastic Jim | @Tilen there is no simple answer to this particular question. You would be better off reading some of the good model selection questions on this website as a starting point. Search for model selection, AIC, model averaging, ... | |
| Dec 15, 2018 at 12:30 | history | edited | Heteroskedastic Jim | CC BY-SA 4.0 |
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| Dec 15, 2018 at 11:35 | comment | added | Tilen | With respect to model selection, what I meant was: to determined which of the predictors appears to have an effect on the response, would it be better to a) fit a full model and judge which predictors are "important" based on the resulting p-values, or would I be better of b) judge the "importance" of predictors via something like AIC (assuming my choice of variables is already reduced to a sensible subset, not including everything I can think of)? | |
| Dec 7, 2018 at 20:58 | history | edited | Heteroskedastic Jim | CC BY-SA 4.0 |
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| Dec 7, 2018 at 20:36 | history | edited | Heteroskedastic Jim | CC BY-SA 4.0 |
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| Dec 7, 2018 at 20:17 | history | answered | Heteroskedastic Jim | CC BY-SA 4.0 |