Timeline for Advice on the statistical analysis of clinical data using summary statistics, t-tests, ANOVA, and linear regression
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| May 8, 2013 at 18:37 | vote | accept | Alexander | ||
| May 7, 2013 at 7:25 | answer | added | Gala | timeline score: 3 | |
| May 7, 2013 at 0:52 | comment | added | rbatt |
My initial reaction was to start with a glm(..., family=poisson), b/c you have count data. I would start with summary(glm(Nodes_removed~(.), data=study_data, family=poisson)), but I notice the QQ plot doesn't look so great (if you plot the glm() object you get diagnostics). Also, there are a lot of terms in there, and I don't know what types of interactions etc. seem sensible. With data like this, I would do careful thinking about what makes sense, b/c blindly including a lot of terms can be dangerous.
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| May 6, 2013 at 22:12 | history | asked | Alexander | CC BY-SA 3.0 |