Timeline for How to calculate the relative risk based on two independent confidence intervals
Current License: CC BY-SA 3.0
12 events
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| Jun 13, 2015 at 15:37 | history | edited | JohnK | CC BY-SA 3.0 |
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| May 20, 2015 at 19:04 | history | edited | JohnK | CC BY-SA 3.0 |
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| May 20, 2015 at 18:40 | history | edited | JohnK | CC BY-SA 3.0 |
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| May 20, 2015 at 18:38 | vote | accept | Alexander | ||
| May 20, 2015 at 18:34 | comment | added | JohnK | @Alexander I have included some extra details in my answer that I believe illustrate how you can program R on your own. | |
| May 20, 2015 at 18:34 | history | edited | JohnK | CC BY-SA 3.0 |
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| May 20, 2015 at 18:21 | comment | added | JohnK | @Alexander Just in case you come by the need to use the Delta method again-and this is not very unlikely- I recommend studying it now. It's quite easy to use as it is mainly based on a third order Taylor expansion. I will look for the R-function as well. Let me just say that if you were a Bayesian you would be done by now :) | |
| May 20, 2015 at 18:18 | comment | added | Jeremy Miles | :) inside-r.org/packages/cran/car/docs/deltaMethod | |
| May 20, 2015 at 18:17 | comment | added | Alexander | Hmm ok I don't understand the underlying statistics in that link but maybe R will do it automatically? Just plug and chug? Any help with the code would be greatly appreciated | |
| May 20, 2015 at 18:17 | comment | added | JohnK | @JeremyMiles I am sure there is. They are in the middle of constructing one that makes coffee too :P | |
| May 20, 2015 at 18:17 | comment | added | Jeremy Miles | There's also an R function for the delta method. | |
| May 20, 2015 at 18:14 | history | answered | JohnK | CC BY-SA 3.0 |