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The accuracy of design-based sampling strategies can be increased by using regression models at the estimation stage.
Climate effects are described through the parameters of a pre-specified distribution, by using regression models linking parameter values with time-varying covariates, such as climate indices.
The basic bootstrap method, which did not adjust for confounders, was compared with two model-based approaches, which adjust for confounders by using regression models.
The commonly used Geno2Pheno tool 4 relates sequence to resistance by using regression models.
The association between age and mean T2 was assessed by using regression models and partial correlations adjusting for group, gender, and BMI.
The differences in T2 parameters between control group (CG) and incidence group (IG) were assessed by using regression models (independent variables: group; dependent variable: T2 parameters).
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Associations between these abnormalities and observed 4-year changes in serum creatinine levels and estimated glomerular filtration rates (eGFRs) from study years 5 to 9 (encompassing years 1994 to 2001) were examined by using regression modeling.
To account for clustering, the effect of hospital volume was analyzed by using regression model with generalized estimating equations methods [ 19], specifying an exchangeable structure of a working correlation matrix, to construct regression models.
Our findings represent a first step towards this goal by using regression tree models, MART® and CART, as unbiased methods to analyze IVF and embryo data.
Individual-level exposures to traffic-related air pollutants at the birth address were estimated by land use regression models.
We derived observational odds ratios for comparison by using logistic regression models adjusted multivariably as described above for Cox regression.
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