Sentence examples for data analytical design from inspiring English sources

Exact(1)

25 However, this study had a nonrandomized prospective data analytical design (and not cost-effectiveness), did not correct success rates for the imbalance in MRSA cases (daptomycin 42% MRSA versus 75% MRSA in the vancomycin group, P < 0.001), and focused only on inpatient costs.

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In absence of reference data, the analytical design could not control for potential influences stemming from welfare reforms and retrenchments in the wake of the 1990's recession in Sweden.

NAA conceived the experiments, collected data, contributed to analytical design, and helped draft the manuscript.

The following problems are discussed: modelling approaches which take into account all important design data; analytical methods for performance evaluation for each design solution; cost evaluation of production lines; optimisation algorithms, based on different production line models.

HKK, SL, and KP performed RNA-seq and ChIP-seq experiments, analyzed resulting data, and collaborated in analytical design.

In contrast, we have shown, using the same analytical design and data source, that non-carrier women were 74% more likely to develop endometrial cancer for every 5 kg m 2 increase in BMI at age 20 (HR: 1.74; 95% CI: 1.27 2.37; P<0.001), while carriers were not more likely to develop endometrial cancer with increased BMI (Win et al, 2011).

CIO conceived the idea for the study and EK the initial design and data analytical approach.

This principle requires that in the design of big data analytical frameworks we should consider that we need no collection of personally identifiable information, unless a specific purpose is defined.

In this paper we elaborate on the above ideas and instantiate the privacy-by-design paradigm, introduced by Anne Cavoukian [19], in the 1990s, to the designing of big data analytical services.

These papers address the data-analytical method design, algorithm development, mathematical modeling, and computational simulation techniques of some translational medical applications.

Nature Research journals have responded to this need and have taken steps to ensure greater transparency in data reporting, such as by asking authors to provide details about elements of experimental and analytical design that are frequently under-reported.

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