Timeline for Does computing this confidence interval make sense here?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| May 30, 2014 at 3:41 | comment | added | DWin | Saying that the unnecessary days are bounded at 0 seems flawed. (Speaking as an M.D. all that stuff about experts is tangential gobbleygook.) The only measure bounded at 0 is the total number of days. That being said you are not analyzing the data with a Poisson model so response is not a good fit to your modeling assumptions. The confidence interval with a bound less than 0 is a symptom of the use of (inappropriate) Normal theory models. | |
| Feb 22, 2014 at 13:29 | review | First posts | |||
| Feb 22, 2014 at 13:41 | |||||
| Feb 15, 2014 at 9:58 | history | tweeted | twitter.com/#!/StackStats/status/434627705347514368 | ||
| Feb 13, 2014 at 8:02 | history | edited | spore234 | CC BY-SA 3.0 |
added explanantion
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| Feb 13, 2014 at 7:54 | history | edited | spore234 | CC BY-SA 3.0 |
added explanantion
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| Feb 12, 2014 at 15:04 | comment | added | whuber♦ | To supply a good answer we need a reasonable model of these data and, if it's to be more than a pure guess, that requires some understanding of the data. How are the "necessary" days in the hospital determined? What are the likely causes of "unnecessary" days? Do you ever estimate a negative number of unnecessary days? That is, do you pay attention to the possibility that people might have been discharged too early? Since you're getting negative values, that suggests you may be using small datasets, which is strange: are you computing a large number of confidence intervals? | |
| Feb 12, 2014 at 12:00 | answer | added | Germaniawerks | timeline score: 1 | |
| Feb 12, 2014 at 10:30 | history | asked | spore234 | CC BY-SA 3.0 |