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Multivariate logistic regression modelling to adjust time changes for sociodemographic and clinical factors (body mass index, hypertension, diabetes, lipids).
None of the studies in the review had used PSM and few of them had used regression modelling to adjust for potential confounders.
However, they also indicate that there was a consistent geographical variation in prevalence, so quantification of the changes requires more elaborate modelling to adjust for differences among surveys in the geographical distribution of sampling.
Variations in outcomes will be investigated using regression modelling to adjust for confounders.
We also used multivariable regression modelling, to adjust for the confounding effects that demographic variables can have on each other, methods often lacking from previous literature in the study of human-animal Interactions.
We also used multivariable regression modelling, to adjust for the confounding effects that demographic variables can have on each other, which are methods lacking from much previous HAI literature.
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We computed hazard ratios (HRs) using Cox proportional hazards modeling to adjust for age.
The authors used multivariable regression models to adjust for prespecified clinical confounders.Two hundred eighty-one patients were included in the analysis.
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 performed single-trait GWA analysis for each of the four traits based on a linear mixed model to adjust for population stratification of the A. thaliana population.
We used multivariable regression models to adjust for both clinical and sleep-related confounders.Two hundred eighteen patients were included in the analysis.
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