Would statisticians hang me for doing the following?
I have a heterogeneous dataset of elderly subjects. Thus, I have model with 7 predictors, including 4 categorical ones, of which some have many levels. I am doing a regional analysis, which means that some regions have fewer subjects on certain reference levels of different categorical variables.
Subjects are mostly aged 70-90 years. Age variable, ranging from 50-100, is causing clear overfitting while comparing it to the plots explanatory data analysis. I found out that there are not enough subjects at mean age at some regions to make meaningful predictions. When I bin the age variable into 10-year bins and use the bin with the largest number of subjects as a reference, the results of the regression are in line with the explanatory data analysis.
Would the binning of age variable will be okay if I publish both: plots on raw data + adjusted analysis? Thus, both analysis confirm the main outcome - regional variablity.