Sentence examples for missing variances from inspiring English sources
Since some of the area means did not have a variance (when they came from only one observation), we examined the effect of missing variances by fitting another model restricted to data sets that had non-missing variances.
We calculated missing variances from reported P values.
28 Where there are missing variances, these will be imputed using methods that will be highlighted explicitly in the methods section and the assumptions fully described.
Since our research question was part of an exploratory feasibility study investigating potential weaknesses in the chosen study design, the results regarding the missing impact of the pathway recommendations (missing variances in monitoring visits, no significance in prescription of basic medication) have to be discussed.
When we repeated this analysis including only LGAs where the variance was available (87%), the results were not different from those including the missing variances (not shown in the analysis).
In case of inconclusive data (e.g. only graphical presentation, missing variance of change), the original authors or institutions were contacted to obtain missing details.
To assess how different imputation methods used to account for missing variance data in primary studies influence tests of heterogeneity and pooled results from a meta-analysis with continuous outcomes.
Thus, the low correlation of the AR signaling genes in ER+ tumors is a consequence of the missing variance of the pathway in these tumors, where it is always highly expressed.
To make a global statement how these pathway recommendations affect patients' HRQoL, reasons for the missing variance in this variable on practice level should be investigated in further research.
Among the multiple possible explanations for the "missing" variance, joint effects of multiple genetic variants are a particularly appealing target for investigation: they are well documented in biology and can often be evaluated using existing data.
Thus, C miss 2 is expected to underestimate the fraction of missing genetic variance.
