Sentence examples for data when compared to from inspiring English sources

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It is unknown if this difference is related to the intensity or type of health care received in pragmatic "real-world" studies (e.g. retrospective examination of administrative claims data) when compared to prospective, comparative cohorts or RCTs in which HCPs attempt to follow specific treatment protocols.

But the Met Office data, when compared to global temperatures before fossil fuel burning took off, shows that 2015 was already 1C higher.

For polar species, the improvement in vapor pressure is typically a factor four in absolute average deviation to experimental data, when compared to the original TAMie force field.

The correlations obtained from both modeling procedures showed higher accuracy in the prediction of the present experimental data when compared to most cited models from the open literature.

For example, space borne spectroscopy has been of limited use in retrieving soil data when compared to laboratory or field spectroscopy.

The simulated water surface elevations and flooded areas with the adjusted DEM shows better agreement to observation data when compared to the results from the original SRTM3 DEM.

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Since the orbit is a result of all forces acting on the satellite, the thruster spikes have to be included in the accelerometer data when comparing to the accelerations from POD.

To decrease the 4- versus 24-h CL Tk-GV) differenCL Tk-GV11.5 to 3.9 ml/min (1 Sdifferencerries the from out to 11.5 (instoad of 4-h) of data when comparing to the 24-h CL.

The reimbursement data sensitivity when compared to medical records data was 29%9595% CI 22%36%%) and the specificity was 97%94%99%99%; Table 2).

Utilizing the GPU to perform massive parallel data processing, not only dramatically enhances the data throughput when compared to processing using only the CPU, but also concurrently frees up CPU resources.

Our method for subnetwork identification in simulated and breast cancer data shows significantly improved reproducibility of prediction performance across different data sets when compared to other network-based methods and gene-based methods.

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