Sentence examples for score analysis is from inspiring English sources

Mean score analysis is used to measured the condition of facilities from PwDs point of view.

An essential component in any propensity score analysis is assessing the similarity of baseline covariates between treated and untreated subjects in the sample weighted by IPT [31 33].

The key assumption in propensity score analysis is the ignorable treatment assignment, which implies that there is no hidden bias from unobserved confounders (Rosenbaum and Rubin 1983; Imbens 2004).

Chen and Kaplan (2015) argued that a benefit of conducting Bayesian propensity score analysis is that one can obtain the posterior distribution of the propensity score and thus the posterior distribution of corresponding balance indices (e.g. Cohen's d and variance ratio) so that the variation in balance indices can be studied in addition to the point estimates to assist in balance checking.

In linkage studies of large families with Mendelian disorders LOD score analysis is an effective method to define the disease locus i.e. the single region of the genome that is shared among affected individuals.

An essential component in any propensity score analysis is assessing the similarity of baseline covariates between treated and untreated subjects in the sample weighted by IPT [ 31– 31].

Cluster analysis, Principal component analysis and Standard score analysis were applied in the assessment of the acquired product quality.

First, to account for technological progress and to avoid selection bias, propensity score analysis was used to compare data on technical parameters.

Propensity score analysis was performed between two groups.

Gene groups for the perturbation score analysis were downloaded from http://www.SABiosciences.com.

A reverse propensity score analysis was used to control bias and population heterogeneity inherent to non-randomized observational studies.