How to Quantify the Association Between Temperature and Rates of v Visits

Indianalysis use a distributed lag non linear modelling framework. This allows us to quantify the association between temperature and the rates of d visits, independent of any time invariant individual characteristics such as age or past medical history. And because of the way we chose sorof the cases and the controls, we're able to also adjust for seasonal and other temporal time trends.