Sentence examples for trials based on a from inspiring English sources

This study used systematic baking trials based on a central composite design to investigate the influence of these two gums and their combination on gluten-free model systems.

Second, additional trials based on a benchmark 10-storey frame and on a codified set of far-field earthquakes (FEMA P695 database), composed of 2×22=44 records, have been developed, for a further assessment.

This review was devoted to providing preliminary scientific evidence from these field trials, based on a review of 29 publications involving field applications of biochar in 8 different countries.

The goal of the evaluation is to highlight frequently cited problems in homeopathic trial design, suggest possible improvement for future studies, and make specific recommendations for homeopathic influenza trials based on a comparison to standard antiviral trials.

We proposed a critical appraisal of the results of randomized control trials based on a multisteps procedure (Figure 1): evaluation of the distribution of the reported variables; evaluation of the distribution of the p values reported for the comparison of the baseline characteristics of the two groups; explicit computation of the p values and parametric bootstrap.

The simulated data was designed to reflect data which is obtained from real clinical trials based on a review of recent submissions to NICE.

The method conducts systematic trials based on an orthogonal array which represents a subset of representative configurations.

The robust data mining of repeated trials based on an L9 34) orthogonal array scheme with embedded uncontrolled noise is discussed extensively.

Over the last several years, the FDA has adapted recommendations for CRT clinical trials based on an evolving understanding of what these devices can achieve.

With a sample size of 15 participants the Wilcoxon signed-rank tests could detect a large difference (standardized effect size [d] = 1.00) between trials based on an alpha level of 0.01 and power of 0.80 (calculated with G*Power 3.1.2).

We have developed and validated a new model to identify patients at risk of early death in phase I clinical trials based on an alternative methodological approach, decision tree analysis.