Sentence examples for measuring exposures and from inspiring English sources

The primary challenge in addressing these relationships involves the complexity of designing investigative studies, measuring exposures and outcomes, and evaluating the evidence.

This year, NIH has been archiving data from the NCS's 40 Vanguard pilot centers, which had recruited 5700 women and their infants, and spending much of the $165 million that had been allocated for 2015 on related pediatric research, such as new tools for measuring exposures and studies of the placenta.

Prior study results of a significant association between appropriate antibiotic therapy and mortality may be due to different methods of measuring exposures and outcomes, failure to control for necessary confounders such as severity of illness, or incorrectly statistically adjusting for variables which are part of the causal pathway between infection and mortality.

The differences in these results may be due to different methods of measuring exposures and outcomes, failure to control for necessary confounders such as severity of illness, or incorrectly statistically adjusting for variables which are part of the causal pathway between infection and mortality [17] [18].

How can (standardized) approaches be developed for measuring exposures and outcomes in epidemiologic studies?

This method has previously been proven to be good at measuring exposures and is less invasive than extracting hair samples [ 49].

This systematic review was performed with an assumption of methodological homogeneity across articles in population characteristics, study design, and methods used for measuring exposure and for characterising dietary patterns.

In order to understand the burden of skin disease on patient populations, researchers need to be able to measure exposures and outcomes of interest in a population-based study.

For example, multiple (linear) regression methods have been used to optimize exposure model parameters for a subsample of subjects with measured exposures, and then model-based predictions are extrapolated to larger groups of subjects with no measured exposures.

Cross-twin logistic regression models, making use of zygosity information, were run to examine the aetiology of the relationship between the measured exposures and depression or abnormal fatigue.

The power or sensitivity of a study depends on the magnitude of the effect, the sample sizes in the exposure groups, and the ability to accurately measure exposures and outcomes.