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Thus, whilst these data are of clinical importance, comparisons of 12 month efficacy between trials should be viewed with caution.
Additionally, comparisons between trials should be made with caution, due to differences in study designs, patient populations etc.
Differences between trials should be taken into account when considering the applicability of findings from randomised clinical trials.
If a fixed-effect meta-analysis is chosen as the one of primary interest, then the variance between trials should be zero (see step 1 ).
If a fixed-effect trial sequential analysis is of primary interest, then the variance between trials should be zero because the underlying assumption behind the fixed-effect model is that all included trials are estimating the same intervention effect.
Although these results support the use of vitamin D3 supplementation, further meta-analysis, particularly an individual patient data meta-analysis, including the results from more recent trials and an exploration of heterogeneity between trials should be conducted.
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Generally, direct comparisons between these trials should be avoided, because significant differences existed with regard to study design and patient population.
The logic of reverse correlation is as follows: if participants selected faces randomly across trials, then summation of the Gabor weights between −1 and 1 across trials should be near zero.
This account predicts that the activity difference between speed and accuracy in the baseline trials should be matched by an equal but inverse activity difference between accuracy and speed in the coherence trials.
They say that it runs contrary to the requirements that there should be equality between parties in trials and that trials should be of a reasonable duration.
Reactions differ between sexes, ages and ethnic groups, which is why clinical trials should be more representative of the general population.
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