Ben, fantastic. Thank you for confirming it.
One more question. What do you call the back transformed variable?
In my domain, people use something called the ratio of mean but I am not
sure if it is the same. I am not what the "ratio" is between.
Regards, Adai
Ben Bolker wrote:
Adaikalavan Ramasamy <a.ramasamy <at> imperial.ac.uk> writes:
Dear all,
I used the glm.nb with the default values from the MASS package to run a
negative binomial regression. Here is a simple example:
[snip -- thanks for the example!]
The question now is how do I report the results, say, for height? Do I
simply take the anti logs. i.e. 1.019613 = exp(0.019423) ?
I have seen one paper where they report using anti log base 10 instead
of natural base but they use STATA though.
Yes, exactly. If you look at ?glm.nb you
will see that it uses a log link function, and therefore
you should exponentiate (anti-log) to back-transform.
Natural, not base-10 logs, are used.
Don't forget that back-transforming standard errors
by themselves is meaningless, you have to back-transform
lower and upper confidence limits ...
Ben Bolker
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