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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.
Beside the regulation by different EV charging models, analyses were carried out by setting different tariff models of the electricity prices in order to regulate EV charging during the lower tariff and low electricity demand.
9 Simple comparison analyses and mixed models analyses were applied.
Except for the mixed linear models, analyses were performed using Stata, 9.1.
In the final models, analyses were adjusted for age, gender, education, cohabitation status, income, and comorbidity.
Mixed models analyses were conducted to examine changes in distress and quality of life measures across the three time points.
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Mixed-models analyses were performed in R (R Development Core Team) with the 'lme4' and 'lmerTest' R packages.
Actor-Partner Interdependence Model analyses were conducted.
The model analyses were done by A.S.G. (surface climate and ocean), A.G. (ocean) and R.J.M. (ecological provinces, NPP and zooplankton biomass); S.P.G. did the modelling of micronekton using Ecopath with Ecosim, and P.L. and I.S. modelled the biomass of skipjack tuna using SEAPODYM.
Linear mixed model analyses were conducted.
Mixed model analyses were performed with STATA software (release 13; StataCorp., College Station, Texas, USA).
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CEO of Professional Science Editing for Scientists @ prosciediting.com