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Our study also involved quantitative analysis of putamen and caudate counts with adjustment for background counts.
Modified Poisson regression with adjustment for matching and clustering were then performed to obtain risk ratios.
All relationships held with adjustment for current smoking status.
These associations attenuated with adjustment for all potential confounders, but positive associations remained.
Corrected prevalence was calculated with adjustment for selection bias due to non-response.
The HbA1c measurements were investigated during the run-in period with adjustment for HbA1c at enrolment.
We considered conditional models both without and with adjustment for known breast cancer risk factors.
Survival analyses were completed with adjustment for potentially confounding risk factors.
Analyses were repeated with adjustment for BMI.
Regression: ** with adjustment for age, sex, BMI.
The statistical analysis was descriptive with adjustment for clustering.
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