Sentence examples for corrected regression from inspiring English sources

We used distributed lag models (Almon 1965; Pope and Schwartz 1996; Schwartz 2000) under a framework of linear mixed-effects models (Laird and Ware 1982) with a first-order autoregressive covariance structure to assess the autocorrelation corrected regression coefficients between 30-min PM2.5 and the HR-corrected QT measures.

The estimator uses the ipw weights to estimate corrected regression coefficients that are then used to perform the regression adjustment.

Although the estimators for the corrected regression coefficients can be shown to be the same under the two approaches, the asymptotic variances are derived using two different methods and have not been compared.

In this paper, we show that these two methods give algebraically identical estimators for the corrected regression coefficients and their asymptotic variances, in the general case of multiple covariates measured with error, for a generalized linear model of exponential family form.

The variance estimates for the corrected regression coefficient of effect as well as 95percentt CI are estimated using Eqs.

For example, the ratio between mercury corrected regression coefficients of a given covariate on the first two finger tapping tests is equal to the ratio of the motor function factor loadings (λ FT 1,3/λ FT 2,3).

Scaling exponents of midslice dimensions against bone length were calculated with corrected regressions (Table S1).

To validate our main results on the relation between phospholipid fatty acids and MRS, using more detailed information on the taxonomic relation between the species investigated [26], [27], we computed phylogenetically corrected regressions as outlined in Protocol S3.

The coefficient of determination, R2 (corrected; linear regression)/Nagelkerke-R2 (logistic regression), expresses the amount of explained variation.

We merged these datasets at the patient-level and compared the performances of these practices using case-mix corrected linear regression models.

The % C4-grass pollen slightly underestimates the actual abundance of C4 grasses at sites with high proportions of C4 grasses, which can be corrected using regression analysis.