Sentence examples for methods for trial from inspiring English sources

*name of any antihypertensive drug (e.g. atenolol, enalapril, nifedipine) *any named symptom (e.g. nausea, vomiting) Clinical staff using quick and specific search methods for trial data on adverse effects will fail to retrieve some potentially relevant papers, and may retrieve a biased selection.

The mean error in mean times is similar for the three methods for trials of 100 patients, whereas it is least for the proposed method for trials of 500 patients.

However, the proposed method, like the IPD method, provides much more stable estimates than the traditional methods for trials with few patients and considerable censoring.

The mean error in mean times is similar for both methods for trials of 100 patients, but is lower for the proposed method with 500 patients.

Fourth, the accuracy of the proposed method is compared to three alternative established methods for trials of 100 patients and 500 patients.

Furthermore, as the traditional method for trials with incomplete information always abandons trials with incomplete information, we also compared our methods with this traditional method.

Second, we found that the prognostic method is superior to the traditional method for trials with incomplete information which abandons trials with missing information.

Previous studies, however, have used the same advertisement recruitment method for trials of varenicline for smoking cessation but found lower response rates with placebo.

On the contrary, if the SEM value of a trial with a large/small mean value is missing, then the traditional method for trials with incomplete information will abandon this trial and naturally gets a result with smaller/higher mean value than the true one.

In Table 5, the second row starting with "X1 " means that if the SEM value of X1 is missing, then from the prognostic method, we get X P 1 ~ N (7.55, 2.53), from the interval method, we get X I 1 ~ N ([7.33, 7.83], [2.12, 2.80]), and from the traditional method for trials with incomplete information, we get X I n c 1 ~ N (6.60, 3.57).

In fact, we can see that although in some cases, the results obtained by the traditional method for trials with incomplete information are also close to the true results, in some other cases, they deviate from the true results significantly, such as cases like in Table 6, when the SEM of X2 is missing, in Table 7, that of X4 or X5 is missing, and in Table 8, that of X2 or X4 is missing.