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We avoided the loss of subjects in multivariable analyses by modelling the growth curve and imputing missing values.
To account for possible confounding by instrumentation method, sensitivity analyses reprised all multivariable analyses by including a covariate for NHANES two-year wave of data collection.
To assess prognostic factors for post-recurrence survival, univariable and multivariable analyses by means of Cox proportional hazard models were used, providing hazard ratios (HRs) with 95%% confidence intervals (CIs).
However, this does not extend to an association with occupation classification, which was shown to be non-significant in the current study and in multivariable analyses by both Leslie et al. [ 30] and Westgarth et al. [ 8].
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Finally, we attempted to optimise the models to our setting by recalculating the scoring coefficients; that is, we performed the multivariable analyses anew by using the variables included in the original models.
In addition we conducted secondary multivariable analyses stratified by use of anxiolytics and hypnotics.
Multivariable analyses stratified by sex showed some differences in associations for men (RR quartile 4 vs. quartile 1 = 1.31, 95% CI: 0.78, 2.21) and women (RR quartile 4 vs. quartile 1 = 0.85, 95% CI: 0.46, 1.57), but the interaction between toenail selenium and sex was not statistically significant (p interaction = 0.18).
To evaluate potential modifying effects of gender, BMI (<30, ≥30), treatment method (chemotherapy/radiation vs. no chemotherapy/radiation), and years since diagnosis (before 2000 vs. 2000 or later) on the association of PFAA levels (in quartiles) to history of CRC, we conducted multivariable analyses stratified by each potential effect modifier.
All multivariable analyses were stratified by age in one-year categories and by study center, to prevent violations of the proportional-hazards assumption.
Uni- and multivariable analyses were done by logistic regression.
The model fit of the multivariable analyses was tested by visual examination of diagnostic plots [ 17].
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CEO of Professional Science Editing for Scientists @ prosciediting.com