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We computed hazard ratios (HRs) using Cox proportional hazards modeling to adjust for age.
Therefore, to account for individuals nested within twin pairs, we used techniques derived from hierarchical linear modeling to adjust for clustering of twins within twin pairs.
We used Bonferroni correction to correct for multiple testing and linear regression modeling to adjust for possible confounding by plasma cytokine concentration, cervical ectopy, total protein concentration, and other possible confounders.
This is the first population-based multicenter cohort study in patients with underlying cardiovascular disease and no pre-existing cancer diagnosis which used robust propensity score modeling to adjust for baseline imbalances and which accounted for competing risks.
The fact that online pollsters have sometimes relied on extensive modeling to adjust their results could be a sign of the limitations of online polling.
We used multivariate Cox regression modeling to adjust for confounders of NODAT.
Similar(53)
Multivariate logistic regression modelling to adjust time changes for sociodemographic and clinical factors (body mass index, hypertension, diabetes, lipids).
Government statisticians use models to adjust the raw data for seasonally recurring effects, such as extra-strong retail sales in December or slack construction in the winter.
It takes time for the model to adjust to the new environment.
We used Cox proportional hazards model to adjust for confounders related to survival at 3 years.
Moreover, we build a traffic-strength- and network-density-based model to adjust essential algorithm parameters adaptively.
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