On Tue, Feb 16, 2010 at 9:38 AM, Shige Song wrote:
> Hi Doug,
>
> Thanks. Next time I will post it to the R-SIG0-mixed-models mailing
> list, as you suggested.
I have added R-SIG-mixed-models to the cc: list. I suggest we drop
the cc: to R-help after this message.
> With respect to your questio
Hi Doug,
Thanks. Next time I will post it to the R-SIG0-mixed-models mailing
list, as you suggested.
With respect to your question, the answer is no, these parameters do
not make sense. Here is the Stata output from "exactly" the same
model:
. xi:xtlogit inftmort i.cohort, i(code)
i.cohort
On Tue, Feb 16, 2010 at 9:05 AM, Shige Song wrote:
> Dear All,
> I am trying to fit a 2-level random intercept logistic regression on a
> data set of 20,000 cases. The model is specified as the following:
> m1 <- glmer(inftmort ~ as.factor(cohort) + (1|code), family=binomial, data=d)
> I got
Dear All,
I am trying to fit a 2-level random intercept logistic regression on a
data set of 20,000 cases. The model is specified as the following:
m1 <- glmer(inftmort ~ as.factor(cohort) + (1|code), family=binomial, data=d)
I got "Warning message: In mer_finalize(ans) : false convergence (8)
Dear All,
I am trying to fit a 2-level random intercept logistic regression on a
data set of 20,000 cases. The model is specified as the following:
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