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Proportionality assumptions were determined both visually and by fitting interactions with the log of survival time.
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Gender differences were tested by fitting interactions.
As exploratory analyses, the role of genotypic effects across various high-risk subgroups was examined both with stratified analyses and by fitting interaction terms into the regression models.
Effect modification by sex was explored by fitting interaction terms into the full model.
Effect modification by sex was examined in stratified analyses as well as by fitting interaction terms.
We tested for interaction by fitting interaction terms between the main variable of interest (Aboriginal or Torres Strait Islander status) and all factors that were found to be statistically significantly associated with food insecurity.
Before carrying out specific subgroup analysis, we will identify differential effects by fitting interaction terms.
Tests for differences in the absolute treatment effect according to each characteristic (ie, tests for interaction) will be derived from standard tests for heterogeneity/trend across subgroups or, where needed, by fitting appropriate interaction terms with treatment allocation in a linear regression model.
We investigated potential effect modification by asthma status by fitting models with an appropriate interaction term and by fitting separate models for children with and without asthma.
Heterogeneity across studies was tested using the likelihood ratio test by fitting models with and without interaction terms for study and SNP based on the final model presented in the results.
We proceeded by fitting a model with possible interactions between the HLA-A and HLA-DRB1 loci.
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