A dynamic time series model for comparison of treatments of allergy, allowing for adjustment to daily pollen counts is proposed. The model takes into account the fact that pollen exposure during previous days affects the symptoms on a given day. It was applied to two clinical trials. Compared with a more traditional regression approach the dynamic model was found to give a better correlation between pollen counts and clinical symptoms.