Hi everyone!
I am working on an animal epidemiology project; dead animals (samples) are opportunistically collected, then checked for the disease (positive/negative). Positive samples are restricted to one specific area but, as some areas provide more samples than others, I would like to check for biases in the sampling process (i.e. do I get more positives just because sampling was more intense on that area?)...Does anyone have any idea of which statistical analysis should I apply on my dataset to evaluate that? I suspect it might be trivial for a statistician, so I apologize up front if I'm lowering the bar of the discussion on you guys, I'm just an ecologist =) still, I'm not finding any clue on this!
Thanx to any help, and cheers for the good work done up to now!
Roberto
I am working on an animal epidemiology project; dead animals (samples) are opportunistically collected, then checked for the disease (positive/negative). Positive samples are restricted to one specific area but, as some areas provide more samples than others, I would like to check for biases in the sampling process (i.e. do I get more positives just because sampling was more intense on that area?)...Does anyone have any idea of which statistical analysis should I apply on my dataset to evaluate that? I suspect it might be trivial for a statistician, so I apologize up front if I'm lowering the bar of the discussion on you guys, I'm just an ecologist =) still, I'm not finding any clue on this!
Thanx to any help, and cheers for the good work done up to now!
Roberto