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16 20 49 Rothman has discussed the use of relative excess risk for interaction (RERI) in assessing additive interactions.
We estimated relative excess risk for interaction (RERI) (Rothman et al. 1980) and its 95% CI using the standard delta method (Hosmer and Lemeshow 1992).
We estimated relative excess risk for interaction (RERI) (Rothman and Greenland 1986) and its 95% CI using the standard delta method (Hosmer and Lemeshow 1992).
The equation can be represented with risk ratios by dividing all the components by R00 and assessing whether the relative excess risk for interaction (relative excess risk for interaction, RR11−RR10−RR01+1) is greater than zero and can be used to evaluate if there is a positive departure from additivity, or synergy, of the effects from two exposures.
52 As the relative excess risk for interaction is a measure of difference in excess relative risks, an estimate over zero indicates presence of synergy of two risk factors, and a 95% confidence interval that is positive and excludes zero corresponds to P<0.05.
49 51 52 Confidence intervals of the relative excess risk for interaction were estimated for statistical inferences by using the standard delta method described by Hosmer and Lemeshow 51 53 (for categorical arsenic exposure) and bootstrap method with 1000 bootstrap samples (for continuous exposure measure).
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Homozygous MDR1 C3435T C-allele carriers were at 8% increased risk pr 25 gram meat per day (CI: 1.00-1.16) whereas variant allele carriers were not at increased risk (p for interaction = 0.02).
Taller women carrying the T-allele appeared to have reduced breast cancer risk (p for interaction = 0.007) (Table 2).
We also observed a significant interaction between the Arg194Trp polymorphism and family history of skin cancer on SCC risk (P for interaction, 0.05).
Furthermore, we did not observe any statistically significant effect modification by cigarette smoking status for the NAT2 or NAT1 genotypes and bladder cancer risk (p for interaction > 0.4).
In addition, intake of processed meat, red meat, and heme iron, which characterize the Western dietary pattern, showed significant interactions with GRS in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively).
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