Sentence examples for score analysis with from inspiring English sources

The investigation utilized a quasi-experimental design using propensity score analysis with a services-as-usual comparison group.

Kaplan and Chen (2012) conducted three simulation studies as well as a small case study comparing frequentist propensity score analysis with the two-step Bayesian alternative focusing on the estimated treatment effect and variance estimates.

Another method assessed the effects of the SNPs and risk factors using a risk score analysis with a linear combination of the SNP genotypes or risk factors weighted by their individual OR (The log odds at each SNP locus was additive in the number of minor alleles, and the log odds for the entire model was additive across SNPs and other risk factors).

It mostly focuses on identifying the range of solutions to practical problems that occur in propensity score analysis, especially with regard to propensity score construction (logistic regression, classification trees, ensemble methods), balancing (significance tests, other metrics), and analysis (matching, stratifying, weighting, covariance).

Table D (see Additional file 1) presents the variables that were included in the propensity score analysis, along with the regression coefficients and standard errors.

Table 2 presents the variables that were included in the propensity score analysis, along with the regression coefficients and standard errors.

Following propensity score analysis, 256 patients with hyponatraemia were matched to 256 patients with normal sodium levels.

Mass spectra of identified phosphopeptides with peptide scores >10 were further processed and validated with the MSQuant 1.5 software for post-translational modification (PTM) score analysis and quantitation, with default settings [ 32].

Monte Carlo simulations are thus ideal for examining bias in estimates obtained from MR and change score analysis in complex situations with substantial selective attrition and inappropriate modeling of RTM.

In this paper we apply linear-model measurement adjustments and matching techniques, along with propensity score analysis, to studying the relationship between health services and family formation behavior in the developing country Nepal.

We performed a polygenic score analysis using the SNPs associated with schizophrenia in the PGC study.