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To ensure the transparency, informativeness, and robustness of the present meta-analysis, the data are analyzed using robust count methods, graphical methods and modeling of primary data as well as by more traditional methods.
Inclusiveness and accuracy are essential to an honest, robust count.
This provided a satisfactorily robust count of the luminescence emission of a single cell, typically 10 100 photons/minute/cell.
First, the present findings are supported by three meta-analytic approaches – graphical model fitting methods, robust count methods, and the more traditional meta-analysis based on dprobit effect size indexes.
A meta-analysis of event-cued ProM using data visualization and modeling, robust count methods, and conventional meta-analysis techniques revealed that first, the size of age-related declines in ProM with both focal and non-focal cues are large.
The key conclusions reached in this article are supported by outcomes of all three meta-analytic approaches: the robust count method, the graphical model fitting method, as well as more traditional meta-analysis based on dprobit effect size index that underestimates d less then dp or dphi indices [43].
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However, in London, where a separate and more robust counting mechanism is used, more than 8,000 people were recorded as rough sleepers in 2015-16.
A comparison between (3.59) and numerically fitted exponents was shown in Fig. 21 (for the more robust counting fuction ( N ( R, beta ) = sum _{k=1}^{[R]} mathcal {N} ( R - k, beta ) )).
The main contribution of this paper is a method for improving tracking precision of sports activities and similar activities with multiple people within a given area by integrating an automatic and robust counting algorithm.
The use of the most recent generation of PET/CT or PET/MR scanners with a larger axial field of view and correspondingly higher sensitivity, time of flight capability and more robust counting statistics, might enable the use of a higher time resolution and higher doses.
The variation in dN/dS ratio was revealed by two independent methods: robust counting in BEAST [ 39], and SLAC in HyPhy [ 40].
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