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Excited to have @mpiccininni3 speaking at the @turinginst causal inference interest group about whether cognitive screening tests should be corrected for age and education
#CIIG #EpiTwitter #CausalTwitter
#CIIG #EpiTwitter #CausalTwitter
Marco explains it is fairly standard, when performing cognitive screening tests, to 'correct' (or standardise) the result for demographic characteristics (e.g. age and level of education). The resulting score tells you someone's result for people of similar age & education
'Correcting' the cognitive score for age and education is therefore equivalent to ignoring the part of the cognitive test score that is due to age and education.
So an older (or less educated) person needs to score lower on the raw test to achieve the same 'corrected' result.
So an older (or less educated) person needs to score lower on the raw test to achieve the same 'corrected' result.
