Sentence examples for methods that controlled from inspiring English sources

Statistical analysis included methods that controlled for treatment duration.

Our findings are consistent with those of previous studies of Gulf War veterans that assessed individual risk factors for symptomatic illness using statistical methods that controlled for confounding effects of concurrent exposures (Cherry et al. 2001; Nisenbaum et al. 2000; RAC-GWVI 2008; Wolfe et al. 2002).

However, methods that control the morphology of the 1-D GNSs have several problems.

Access to insights and methods that control the regulation of cell fate has provided unparalleled opportunities for biomedical research.

Define the data type named type that informs what is the type of the filter (source, transform, renderer); The Initialize and Cleanup methods that initialize and cleanup all the filter resources; The Connect method that allows connecting other filter to this filter; The Start, Stop and Pause methods that control the execution data flow; The Process method that process data.

An important advantage of the FDR in this context is that it provides a better balance between finding true effects and controlling false discoveries compared to more traditional "family-wise" methods that control the probability of finding one or more false discoveries in the whole study (e.g. the single step Bonferroni correction).

As argued previously [ 49], we preferred this approach to more traditional multiple testing methods that control the probability of producing one or more false discoveries for a set of tests [ 50].

In contrast, the active assembly method is a method that controls impedance of an end effector properly with sensor feedback.

As a result, in our work, we propose an anomaly detection method that controls the FDR below a desired level.

This facile method that controls the phase structure by adjusting the solution pH value could open a new way to synthesize other I-III-VI2 ternary semiconductor compounds.

His group applied comprehensive assessment of gene/environment interactions using a genome wide approach with a statistical method that controls for multiple testing [22].