The phrase "accuracy of trial" is correct and usable in written English.
It can be used in contexts discussing the precision or correctness of results in a trial, such as scientific experiments or legal proceedings.
Example: "The researchers emphasized the importance of the accuracy of trial results in drawing valid conclusions."
Alternatives: "precision of the trial" or "correctness of the trial".
On the other hand, since a substantial portion of meaningful information in the EHR is represented only in narrative text, progress in natural language processing (NLP) and information extraction (IE), can enhance the accuracy of trial-patient matching [ 21, 23].
Thus block 1 was the mean accuracy of trials 1 3, block 2 the mean accuracy of trials 4 6, and so on.
Although alternative approaches using new scales have been suggested as a way of improving the speed and accuracy of trials (for example [ 13]), the modeling approaches described here make use of scales widely used in clinical trials, patient registries and observational studies.
These variables included the rate of accuracy on trials of false belief probe, rate of accuracy on trials of false belief command, PSP total score, PANSS General symptoms, PANSS Positive symptoms, PANSS Negative symptoms, IQ, CPZ equivalents, Length of illness, VFT total score, and DST total score.
There was a significant positive correlation between rate of accuracy on trials of false belief probe and accuracy on trials of false belief command (r=0.598, P<0.001), a significant positive correlation between PANSS General symptoms and PANSS Negative symptoms (r=0.447, P=0.001), and a significant negative correlation between IQ and Length of illness (r=0.387, P=0.007).
The correlation between rate of accuracy on trials of false belief probe and PANSS General symptoms (r=−0.368, P=0.010) approached statistical significance.
An investigator can use the formulae presented in this paper to conduct a sensitivity analysis of their estimates of the diagnostic accuracy of Test 2. For the trial conducted by Lehman et al. [ 5], an example of this sort of sensitivity analysis is given in the immediately preceding paragraph.
Simulation results show that this design has good operating characteristics and improves the accuracy of MTD, trial efficiency, therapeutic effect, and overdose control relative to EWOC which is used as a representative of designs treating toxicity response as a binary indicator of DLT.
Because these data were not collected from the buttocks, an internal pilot was overseen by our Data Monitoring Committee to confirm the accuracy of the trial size.
Figure 3 shows the mean classification accuracy of single trial power (blue diamonds) and rank spectra (green squares) in a single dataset as a function of the number of frequency bins (features) used.
