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Oct 2, 2016 at 22:35 comment added Dunen Yes, in maybe a little less than half the cases there were more animals afterwards. In about a third of the cases there were no or very little animals after the treatment.
Oct 2, 2016 at 22:27 history edited Ben Bolker CC BY-SA 3.0
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Oct 2, 2016 at 21:55 history tweeted twitter.com/StackStats/status/782700563624591360
Oct 2, 2016 at 15:46 history edited gung - Reinstate Monica CC BY-SA 3.0
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Oct 2, 2016 at 15:42 comment added gung - Reinstate Monica Are there any cases where there are actually more animals afterwards than before? If you want to know about other links, you'll need to specify the link you are thinking about. However, I don't really see an advantage to using a different link from the log. If you think the curvature specified by the log / exp transformation is wrong, you could add polynomial or spline terms. I would still stick with the log link.
Oct 2, 2016 at 14:21 vote accept Dunen
Oct 2, 2016 at 14:07 comment added Dunen @gung: I have edited my question according to your questions. The animals didn't have individual tags, so I don't know when exactly wich one died, but I do have counts after each of the 6 weeks of the experiment. However modeling repeated measures seems more complicated and maybe not necessary for my research question...
Oct 2, 2016 at 14:02 history edited Dunen CC BY-SA 3.0
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Oct 2, 2016 at 0:09 answer added Ben Bolker timeline score: 15
Oct 1, 2016 at 23:25 comment added gung - Reinstate Monica Are your data number that survived out of a known initial total? Is the survival assessed after an identical temporal interval for all animals? Do you know the time when each animal died during the study period?
Oct 1, 2016 at 21:58 review First posts
Oct 1, 2016 at 23:25
Oct 1, 2016 at 21:57 history asked Dunen CC BY-SA 3.0