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The impact of cancer status on outcomes (from a hospital perspective) was evaluated using multivariable generalized estimating equation models; analyses were conducted separately for each resection type.

9 Simple comparison analyses and mixed models analyses were applied.

In the final models, analyses were adjusted for age, gender, education, cohabitation status, income, and comorbidity.

Except for the mixed linear models, analyses were performed using Stata, 9.1.

Mixed models analyses were conducted to examine changes in distress and quality of life measures across the three time points.

In all the above models, analyses were first run with the POPs modeled as ln-transformed continuous variables and categorized using quintiles.

For the adjuvant therapy and survival models, analyses were firstly carried out on all tumours, that is, both invasive and in situ.

To study the possible impact of the intervention on prejudiced beliefs, mixed models analyses were performed (Table  6 and Table  7).

Actor-Partner Interdependence Model analyses were conducted.

Mixed-models analyses were performed in R (R Development Core Team) with the 'lme4' and 'lmerTest' R packages.

Unit cell model analyses are carried out for a material with a periodic array of voids, subject to shear loading.