Sentence examples for implemented a regression from inspiring English sources

For some outcomes, we implemented a regression analysis that includes an intervention indicator variable as well as a number of covariates.

Cost and outcome measures were therefore included in a bivariate system that implemented a regression of costs and QALYs (or EQ VAS) on treatment allocations (that is, whether they were assigned to CBT, RPT, or TAU).

We implement a regression discontinuity design to estimate the increase in educational attainment due to changes in compulsory education laws in 20th century Europe.

This paper identifies the effect of health insurance on workers' compensation (WC) filing for young adults by implementing a regression discontinuity design using WC medical claims data from Texas.

To measure the program's impact, we implement a regression discontinuity (RD) design on principal researchers who applied for funding between 1988 and 1997 considering as outcomes both quantity (publications up to 2002) and quality (citations up to 2005) of their scientific production.

1) ToxProfiler, which implements the unpaired t-test to score the difference in gene expression between the genes from a pre-defined gene set and the remainder of the genes [ 15]. 2) The weighted version of the global test [ 16], which implements a regression model where the gene expression measurements correspond to the covariates and the phenotype corresponds to the response.

As MICA is situated in proximity to known risk alleles of the HLA-DRB1 locus, our analysis accounted for linkage disequilibrium either by analyzing the subgroup consisting of parents not carrying HLA-DRB1 risk alleles with transmission disequilibrium test (TDT) or by implementing a regression model including all available data.

Haplotype analysis was performed using the WHAP program [ 27] implementing a regression-based association test allowing for evaluation of haplotype-specific association.

Brandstein et al. [22] practically implemented a linear regression slope forced unwrapping method which recursively adjusted the estimated wrapping frequency using lower band phase observations.

Finally, the study implemented a truncated regression equation using the bootstrapped efficiency estimate as the dependent variable, and a selection of indicators measuring the quality of public services offered in the context as the independent variables.

In order to minimize the effect of having a dissimilar number of cases and controls in our study, we implemented a logistic regression analysis in RStudio (version 0.97.312) [14] for those SNPs with p-values < 0.01 in the previous Chi-square test.