Sentence examples for score analyses were from inspiring English sources

Polygenic risk score analyses were conducted to investigate the genetic relationship within and across the two disorders.

To evaluate the effect of antimicrobial strategy on ICU mortality, multivariable Cox model and propensity score analyses were used.

Finally, results of the post hoc propensity score analyses were consistent with results from the primary analysis.

To account for biases in treatment effect arising from nonrandom allocation of patients to treatment groups, propensity score analyses were performed.

Both of the canonical variates (CV) in the factor score analyses were important in discerning between fungal, plant, and animal sequences (Table 3).

To minimize the effect of unmeasured group differences, propensity score analyses were performed as sensitivity tests of the robustness of the study findings.

Finally, propensity score analyses are considered objective in the sense that the model is specified without relying on the outcome.

Multivariable confounder-adjustment analyses and propensity score analyses are implemented in most of the studies to control imbalances between transfused and nontransfused groups.

Thus, we present results from logistic regression in main tables; multiple imputation/propensity score analyses are presented in Additional file 1.

29– 32 After investigation by light microscopy by pathologists, the D-score analyses were performed by trained engineers (IP, KH, KL).

Before the Z-score analyses were applied, we computed geometric means of relevant replicate measurements for the two groups: FF tumor (4 patients, excluding sample 390) and FFPE-Agencourt tumor (4 patients, excluding sample 390).