Sentence examples for standardization variable from inspiring English sources

Four types of composite scales were found to work best as the direct standardization variable for trichotimization: an IADL summary score (for 8 HC-QIs), the Cognitive Performance Scale (for 8 HC-QIs) [ 9], a clinical risk summary scale (for 6 HC-QIs), and the ADL Long summary scale (for 2 HC-QIs) [ 10].

Finally, using the three sets of estimates created by the separate covariate analysis models in each of the direct strata, and taking the population distribution of the direct standardization variable, each site's quality indicators were weighted to a common population distribution on the direct standardization measure.

After standardization, the standardized variable, X, has mean zero and variance one.

Additionally, while most human clinical probiotic trials are well-standardized using the same strains, uniform dosages, regimens of the probiotic treatments and similar host age, animal studies often lack standardization, have variable experimental designs, and non-uniform and sometime limited selection of experimental variables or observational parameters.

Reported incontinence rates vary considerably from 0 to 40% largely because of lack of standardization and variable follow-up [ 19].

This collaboration, concomitant with the standardization of variable and outcome reporting, has produced the largest and most thorough collection on the production of human clinical-grade islets.

This test is not routinely performed on LJ media in Russia due to the lack of standard protocols and variable standardization recommended on the national level.Although the MGIT system generated all FLD DST results more rapidly than the LJ methodology, the molecular methods provided results for isoniazid and rifampin resistance within one day.

Designing of experiment and standardization of variables affecting the system are very critical in the optimization process.

Ensuring standardization of variables across studies is a challenge when data are pooled.

The analysis of the results by performing a standardization of variables on the risk factors of patients showed a significant difference in standardized prevalence rates over time (p = 0.006).

The distribution of the selected item was then used to stratify the samples into three levels – a low, mid, and high score range of the candidate direct-standardization independent variable -- and the covariate adjustment equations in each of the three strata were determined, again by multiple logistic regression.