Timeline for Statistical test for increasing incidence of a rare event
Current License: CC BY-SA 3.0
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| Jul 12, 2015 at 15:38 | comment | added | Karl Ove Hufthammer | I agree that Poisson regression is appropriate. And if one had more data, one could even fit the (log) incidence rate as a non-linear function of time. An added advantage of Poisson regression is that it’s easy to take the number of persons at risk into account. And when one’s dealing with time, this is especially important, as the (possible) trend in incidence that we’re seeing may just be the effect of an increasing population at risk, not an increasing incidence rate. (For example, the world population has increased by a quarter in the last twenty years.) | |
| Jul 2, 2015 at 18:34 | history | answered | dsaxton | CC BY-SA 3.0 |