Timeline for Is it mandatory to subset your data to validate a model?
Current License: CC BY-SA 4.0
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Feb 16, 2020 at 21:15 | history | edited | Matt Barstead | CC BY-SA 4.0 |
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Dec 19, 2018 at 14:17 | vote | accept | Eric Lino | ||
Dec 10, 2018 at 21:41 | comment | added | Matt Barstead | You may want to check out the simR package. To my knowledge it is the most flexible existing package for power analyses with linear and generalized linear models. Green, P., & MacLeod, C. J. (2016). SIMR: An R package for power analysis of generalized linear models by simulation. Methods in Ecology and Evolution. | |
Dec 10, 2018 at 21:27 | comment | added | Eric Lino | I see. Well, I'm using the glmmadmb package, developed by Ben Bolker & others. My response variable is zero inflated (number of people with a specific rare disease) and my independent variables include normal, non-normal and zero inflated distributions. Since I'm dealing with a time series, I used "year" as a grouping factor and it seemed like a good idea to explore the ZIGLMM family of models. Does this information help you in helping me? | |
Dec 10, 2018 at 11:37 | comment | added | Matt Barstead | For R packages and power it depends on your model (pwr, simsem, etc). There is not a single answer. Also in terms of the odds of subsetting your data I think that is just another way of asking about power if I understand you correctly. If you are gravitating toward the power bit I would recommend concentrating on your weakest effect and seeing what the minimal sample size would have to be to replicate it - a sort of worst case scenario. | |
Dec 10, 2018 at 3:33 | comment | added | Eric Lino | I appreciate all the time you spent writing such a in-depth answer, Matt. However, I feel that although it helps me in a conceptual level, it lacks some reference that I will very much need to discuss this approach with my supervisor. Would you happen to have any papers/books on the odds of subsetting data? If not possible, would you recommend a R package on which i can perform this power analysis you spoke of? | |
Dec 9, 2018 at 1:50 | history | edited | Matt Barstead | CC BY-SA 4.0 |
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Dec 9, 2018 at 1:39 | history | edited | Matt Barstead | CC BY-SA 4.0 |
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Dec 9, 2018 at 1:33 | history | answered | Matt Barstead | CC BY-SA 4.0 |