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First, we studied the associations of PGS and CHRNB2 pLOF-plus-missense burden with heavy smoking using logistic regression analysis, in which the heavy smoker phenotype was coded as the dependent variable (that is, outcome), and PGS, burden mask, an interaction term between PGS and burden mask and relevant covariates (the same as the ones used in the GWAS) were coded as independent variables (regression formula: heavy smoker PGS + burden mask + PGS burden mask + covariate 1 + covariate n )

The best way to know which anti-smoking messages work would be to take a huge group of otherwise similar people, divvy them up into groups that are otherwise as similar as possible, and randomly assign the different groups to be exposed to different messages about smoking

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Whitford, a case that challenges Wisconsin electoral maps on partisan gerrymandering grounds

Hymowitz, N., Ploshnick, A., Laemle, L