In almost all cases, missing values in the response cannot provide any information about your model coefficients and can thus be simply ignored, see e.g. MICE missing values on the response This is different from missing data in predictors where it may make sense to model those explicitly. So unless you need to use the binomially distributed data as predictors, ignoring them is probably best you can do.
Best of luck with your model!