Hi,
I want to apply a Poisson GLM to count data, analyzing trends. However, there are missing counts (i.e. missing values in the outcome variable) in the dataframe. Is there any recommended method how to deal with this? I know there exists "multiple imputation methods" to fill the gaps in the data, but is this the most recomended way if I subsequently want to apply a regression model e.g. for trend analysis?
Thanks
I want to apply a Poisson GLM to count data, analyzing trends. However, there are missing counts (i.e. missing values in the outcome variable) in the dataframe. Is there any recommended method how to deal with this? I know there exists "multiple imputation methods" to fill the gaps in the data, but is this the most recomended way if I subsequently want to apply a regression model e.g. for trend analysis?
Thanks