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We also tested whether the calculated hazard ratios were significantly different between treatment groups by using an interaction test according to the Cox model (treatment (0/1), genotype (0/1) and treatment × genotype (0/1)).
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In addition to this a model in which the effect of price changes were allowed to differ between counties were also tested using an interaction term (d i ·ΔF i,t, where d i is a county dummy) but the interaction terms were not found to be statistically significant as a group and therefore excluded from the model.
Interactions between detection mode and breast density were tested using an interaction term.
The hypothesis of average BMI modifying the ΔPM10 effect was tested using an interaction term between these two parameters.
The significance of subgroup effects were tested using an interaction term, as proposed by Brookes, et al [ 21, 41].
The difference in the change of mobility over time was tested using an interaction term between an independent variable (age, gender, cohort, chronic conditions at baseline) and time.
The proportionality assumption of constant hazards over time was tested using an interaction term of aspirin with the logarithm of time.
In a final model, analysing all subjects, adjustments were also made for detection mode (HR), and interactions between detection mode and breast density were tested using an interaction term.
The clinical plausibility of dexamethasone and ondansetron administered together vs. either drug administered alone were again tested using an interaction term in the larger multivariable models at this time.
The difference in the change in the number of assaults across the intervention period between the two areas was tested using an interaction term between the before and after variable and the area variable.
The difference in the change in z-scores across the intervention between the two groups was tested using an interaction term between group and time, which can be viewed as the intervention effect.
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