Sentence examples for using the summary statistic from inspiring English sources
Statistical analysis was performed using the summary statistic approach to mixed effect modeling.
To improve the exactness of SNR classification, p k,l is calculated by using the summary statistic sequence ( {boldsymbol{T}}_{mathbf{k}}=left{{widehat{T}}_k^{(0)},{widehat{T}}_k^{left -1right)}_k^{left -1rightT}}_k^{left(-S+1right)}right} ) obtained from the past S tests before the current moment.
We have employed a random effects analysis using the summary statistic approach [21] to control for the between-subject variation in our sample.
Contrast images from the first-level model (the average of all syllable types for covert and overt reading trials, and the difference between covert and overt trials) were taken forward to second-level group analyses and entered into one-sample t-tests using the summary statistic approach.
The data were analyzed in a conventional fashion, using the summary-statistic approach to implement a random effects analysis at the between-subject or second level.
Standardized mean difference was used as the summary statistic for the overall effect size, with the associated 95% CIs.
Instead, the odds ratio should be used as the summary statistic to pool data from observational studies.
When analysing responses to the PRISMA statement [ 14], the relative risk or risk ratio was used as the summary statistic for sub-group comparisons [ 19, 20].
The probability of the most abnormal difference in SFI-HT region scores or of the sum of all SFI values was used as the summary statistic for the SFI with the clinical diagnosis serving as the "true" classification.
But more interestingly, the Illumina analysis was able to elucidate a few pathways involved in spermatogenesis [ 20], like the N-glycan biosynthesis [ 21- 23], adherens and tight junction [ 24- 26] when σ wtrep was used as the summary statistic.
Among the 36 occurrences where the slope was used as the summary statistic, 16 (44.4%) had three or more repeated measurements of renal function per patient, which would have made it possible to use more appropriate statistical methods as described in the next section.
