@KirkegaardEmil do you have s factors computed by county somewhere handy?
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Replying to @KirkegaardEmil
@KirkegaardEmil didn't you say the data needed to be adjusted for age or something?2 replies 0 retweets 0 likes -
Replying to @KirkegaardEmil
@KirkegaardEmil but yeah.... you think adjust against median age or something else?1 reply 0 retweets 0 likes -
Replying to @KirkegaardEmil
@KirkegaardEmil you mean normalize against multiple age distribution points or against multiple S-factor variables (edu, $, etc)?2 replies 0 retweets 0 likes -
Replying to @RCAFDM
@RCAFDM@KirkegaardEmil didn't Andrew Gelman say you could just weight equally by each year of birth and it would accomplish the same thing?1 reply 0 retweets 0 likes -
Replying to @toad_spotted
@toad_spotted@RCAFDM It's aggregate-level data.1 reply 0 retweets 0 likes -
Replying to @KirkegaardEmil
@KirkegaardEmil@RCAFDM oh, so you think the S factor needs to be age-adjusted, not just the mortality data?2 replies 0 retweets 0 likes
@toad_spotted @RCAFDM The education variables show large age effects that obscure the S pattern. Try.
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Replying to @KirkegaardEmil
@KirkegaardEmil@toad_spotted there are probably large age effects with income too0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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