I am trying to develop a spatiotemporal logistic regression model to predict the presence/absence of a disease in U.S. counties (contiguous U.S.) based on climatologic variables, with data points for each year between 2007 and 2014; ideally, I would like a model with functionality to score additional datasets, e.g., use the model developed for 2006-2014 to predict disease probability in future climate scenarios. The model needs to account for spatial autocorrelation, and (ideally) temporal correlation as well. Unfortunately, my SAS abilities are not up to the task. Would anyone have suggestions for developing the model? The data take the form of: countyFIPS year outcome predictor1 predictor2 predictor3 latitude longitude where countyFIPS = unique 5-digit identifier for U.S. counties Outcome = at least one case in the county for the given year, coded 0/1 I'm really bad at this, so please be gentle and use small words...
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