Sentence examples for more controlled studies from inspiring English sources
We see it as an open door to doing more controlled studies at the university".
This is supported by more controlled studies in psychophysics which have found contrast effects in successive assessment of different intensities of taste stimuli.
Though these results are promising, more controlled studies in which the developed ICT solutions are tested in real life situations are needed before implementing them in the care for people with dementia.
Findings lay the groundwork for more controlled studies of the effectiveness of e-book platforms as literacy curriculum resources and more active collaboration among publishers, IT developers and educators to improve e-book platform quality.
Nonetheless, more controlled studies are required to evaluate the risks of nAg under conditions that are typical of natural soils.
More controlled studies are needed showing which other patients can be beneficed by the high flow therapy to prevent the delays in the start of mechanical ventilation.
This way, the expected stabilizing effect of tannins was reduced at the most possible level in favour of a more controlled study which better focuses in potentially degrading effects.
The predictive value of a negative HPV test for absence of pathology amongst women with no cytological abnormalities has recently been reported in a more controlled study (ATHENA) as over 95%.
There has only been one more controlled study of PTH and fracture healing.
We therefore carried out a more controlled study that allows for the direct comparison of promising CCK-2 receptor-targeted analogues in the same patients in an attempt to find the best analogue for tumour localisation and test the potential of the two In-DOTA compounds for PRRT.
We use both real (measured) data, containing partial observations of the system, and pseudo-experimental (artificial) data obtained by simulating the model and adding different amounts of artificial noise: The use of pseudo-experimental data allows us a more controlled study of the influence of noise and observability on the performance of the parameter estimation (optimization methods).
