Thank you both for your speedy replies. Very helpful. Hugh
On Oct 31, 2012, at 11:30, David Winsemius <dwinsemius at comcast.net> wrote:
On Oct 31, 2012, at 11:18 AM, Hugh Sturrock wrote:
Hello all, I am running a lmer model with two random effect levels, household nested in village, with two categorical predictors and a binomial outcome. I would like to obtain risk ratios and so am using the term family=binomial(link=log).
Couldn't you use Poisson errors with a log link. I would think that should give you risk ratios and be a canonical link-error pairing.
However, using this link doesn?t allow the model to converge properly and I get the following message: Error in mer_finalize(ans) : mu[i] must be in the range (0,1): mu = 18.3133, i = 166 As I understand it from posts elsewhere, this is due to the fact that one or more observations producing a linear predictor that, when mapped to a predicted probability, falls outside the admissible range of [0,1]. Does anyone know of a way to overcome this?Thank you!Hugh Hugh Sturrock
-- David Winsemius, MD Alameda, CA, USA