[R-sig-ME] help with glmer

[Ben Bolker]

You should use log(time) as an offset, not time.  I prefer to include
it in the model formula, but that's largely a question of style.
@SteveCandy: with a cloglog link in a binomial-outcome model, using
log(time) as an offset allows a natural way to scale the probability
of mortality within the time for which an individual has been
observed.

I recently added a bullet point about using time rather than log(time)
as an offset here:

https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#convergence-warnings

Another example of this approach:

https://www.researchgate.net/profile/Alexander_Shenkin/publication/328148029_Interactive_effects_of_tree_size_crown_exposure_and_logging_on_drought-induced_mortality/links/5bc0645f299bf1004c5ac9f9/Interactive-effects-of-tree-size-crown-exposure-and-logging-on-drought-induced-mortality.pdf
On Thu, Nov 29, 2018 at 8:07 PM Steve Candy <burwood70 using gmail.com> wrote:
>
> Hi Sachiin
>
> I do not understand why "time" is included as an offset and even before
> that what the variable "number of years" refers to. An offset does not
> allow any scaling by a corresponding regression coefficient so you have to
> be very careful  to determine whether a predictor variable can validly be
> included as an offset.
>
> cheers
>
> Steve
>
> --
> Dr Steven G. Candy
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> SCANDY STATISTICAL MODELLING PTY LTD
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