Modeling to detect data problems

Sometimes the best model is the data, but all data are wrong! A big part of validation is detecting and correcting errors in data. I ve recently run across an interesting example. I m working on Chronic Wasting Disease in deer, which essentially combines an epidemiology model with a deer population model, surrounded by some social and Continue reading "Modeling to detect data problems"