“…There is a rule of thumb that if the F-statistic value is greater than 10, the first assumption holds [13,96,97]. Other measures for the strength of the association between IVand exposure include the first-stage regression coefficient of the IV [50,98] or the R 2 of a linear first-stage model [15,78,83], the odds ratio [6,93], or pseudo-R-squared of the first-stage model [76]. When the correlation between IVand exposure is not strong enough, IVanalysis is likely to be biased (weak IV bias, which increases with the weakness of the IV).…”