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Although we focus on the analysis of multichannel spike train data the metrics we describe are applicable to any stationary time series in which causal relationships among multiple measures is desired.
The use of multiple measures is favored over a single measure in order to obtain a comprehensive picture of health care [ 35 ].
The data from single metabolite measurements were normalized to the "day 0 sample" of each treatment and sample modification, in order to depict the variability from storage over time on the abscissa, while variability from sample modification and multiple measures is depicted as standard deviation (SD).
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In these settings, multiple measures are usually introduced with apparently successful results.
Whether single or multiple measures are finally agreed on, the data they provide should eventually merge with other health records, such as the proposed mental health minimum dataset and electronic patient records.
Multiple measures were adopted to prevent and control rockbursts, including the prediction and early warning measures, stress relief by blasting in advance, optimized blasting design and optimized tunnel support in the tunnel sections prone to strong rockbursts.
Multiple measures were taken to ensure quality qPCR data.
Given the complex nature of dating and dating relationships, multiple measures were utilized in these analyses.
Specifically, four image quality approaches and a biometric quality approach (that may each contain multiple measures) are considered for the evaluation.
As Black and Smith (2006) note, the high degree of correlation between different measures of peer ability make it difficult to interpret individual coefficient estimates for specific measures when multiple measures are included in the empirical model.
The patterns of concurrency they display – defined across multiple measures – are distinct, and consistent with the epidemics that unfolded in each population.
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CEO of Professional Science Editing for Scientists @ prosciediting.com