Sentence examples for implementing a regression from inspiring English sources

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.

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.

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

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.

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).

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.

A continuity of geographical latitude and longitude is considered as important for reducing the influence of statistical outliers and implementing a meaningful regression analysis.

Protein properties were analyzed by implementing a multiple regression model using the "lm" function.

We address the ceiling effect by implementing a linear regression of log-transformed WOMAC function score while treating postoperative scores as left-censored at 0.9.