Although making decisions based on well-designed research is the preferred choice for improving efficiency and effectiveness in health administration, evidence-based methods have not been extensively used in the field of medical management in China.
To the best of our knowledge, causal graph-based methods have not been previously applied to analysis of GWAS data.
In contrast, clinically tested sliding scales and titration-based methods have not always been effective, due to an inability to customise the control to individual patients [ 26- 28].
However, existing PCR-based methods have not overcome shortcomings such as limited spectra of identifiable pathogens, limited antibiotic resistance testing, central laboratory facility requirements, lack of 24-hour availability and cost issues [ 87, 88].
On the assumption that timing of systolic motion and/or velocity in the investigated segment reflects the mechanical activity of the underlying myocardium, TDI and other motion-based methods have not only been proposed to investigate the presence of dyssynchrony but also to detect the site of latest activation or to screen for dyssynchrony in failing hearts with narrow QRS [ 18, 60].
We show that this new method provides robust estimates of admixture time (including improved control of uncertainty estimates), as well as recognizing other aspects of admixture processes that previous wavelet-based methods have not been able to identify with any accuracy.
Although clinical advantages of using software based dosing methods have not been demonstrated, they should be considered preferred for critically ill patients with severe infections [ 74– 76].
