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Description
Haven't you always wanted to know what goes on in those statistical shenanigans found in so many observational studies, where raw results are "adjusted" for a whole range of criteria that may affect the results, from age and sex to inside leg measurement. No, it's not sad, but important.
Usually all this is opaque to us, and probably ever will be, but a study of the difference that different methods make, and related to results of randomised trials [1] and an accompanying editorial [2] at least provide an indication of the magnitude of the changes adjusting methods can make.
Study
The study was of 122,000 Medicare patients in the USA aged 65-84, admitted with acute myocardial infarction,... |
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