Logistic mixed-effect regression example
26 views (last 30 days)
Tom Lane on 21 Feb 2012
In that case nlmefit would not be suitable, because it fits models with a continuous response. The glmfit function would be suitable, but it doesn't support mixed effects so you could only use that if you were willing to treat your predictors as having fixed effects. Unfortunately there's no Statistics Toolbox function that performs mixed effects logistic regression.
Peng Li on 7 Aug 2020
You could use fitglme now to fit mixed effect logistic regression models. You can specify the distribution as Binomial and this way the Link function will be made as logit as well. Then you will be fitting a mixed effect logistic regression model (of course you need to specify random effects correctly in the formula).
Tom Lane on 15 Feb 2012
You could use NLMEFIT to fit a response with normally distributed errors around a curve with a logistic shape. But there is no function in the Statistics Toolbox for fitting a mixed-effect model to a logistic regression to model the probability for a binomial response variable.