Sentence examples for main confounding variables from inspiring English sources

Exact(4)

In order to resolve these issues, researchers should carefully devise and implement robust study designs accounting for the main confounding variables, which may serve to elucidate the specific contribution of individual bouts of exercise to overall health.

Fourthly, our systematic review was based on unadjusted data, as the alleles information stratified for the main confounding variables was not available in the original papers.

Thirdly, this meta-analysis was based on unadjusted data due to a lack of detailed genotype information stratified by main confounding variables, such as gender, age, smoking status in original articles.

The main confounding variables likely to influence the level of agreement are; bias between the researchers doing the assessments, duration of interview, use of interpreter, order-effect (effect on the second interview due to practice or residual memory from the first interview) and the time interval between the two methods of interview.

Similar(56)

Previous seroepidemiologic studies have shown that age is a main confounding variable in analysis of risk factors for toxoplasmosis (2 ).

…and to account for the many confounding variables that may invisibly affect the data.

We selected extramarital sex as the dependent variable and alcohol use as the main independent variable, with potential confounding variables being age of the man, whether the man was the head of the household (or not), level of education, place of residence, age at first sex, socio-economic status, and religion.

On the other hand, people with SMI were more likely to regard their mental health as a main priority, after adjustment for confounding variables (adjusted OR 2.2, 95% CI 1.0-4.7 1.0-4.7049).

In an ideal genomics design, the groups of the main interest, as well as important confounding variables should be balanced and replicated across the batches to form a Randomized Complete Block Design (RCBD) [ 6- 8].

In the multivariable regression models, confounding variables that altered main effect estimates by ≥15% (Greenland 1989) or variables that were significant at the 0.05 level and which added prediction to the final models were adjusted for, except for age and weight which were forced into all models.

The compliance and adverse effects are considered confounding variables, since they are the main obstacles for the iron-therapy responsiveness.

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