Not to reignite the whole issue with DeSoto and Hitlan (here and here), but Epi Wonk emailed me an excellent critique of the paper.
(The whole issue was about the relationship between mercury and autism. Ip, 2004 measured mercury levels in children with or without autism. They found no relationship between autism and mercury concentration. DeSoto and Hitlan corrected and reinterpreted their data and claimed that a correlation existed.)
Epi Wonk makes two very important points:
First, both Ip, 2004 and the revision in DeSoto and Hitlan, 2007 used a Student's t-test to analyze the data when the data does not appear to be normally distributed. Here is a key graph of the raw data (from Epi Wonk):

It breaks down the percentage of cases by mercury concentration. To quote Epi Wonk: "If these data are normally distributed, or anything close to normally distributed, than I'm Bernadine Healy." Thus, a t-test is inappropriate.
Second, using odds-ratio you can show that the apparent statistical significance is the result of the small percentage of very high mercury cases with autism. People pushing the autism-mercury link may jump on that, but I ask them: how do you explain the very large number of autistic children with very low levels of mercury?
Anyway, read the whole thing.

Jake Young is a 



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