Missing data and drop-outs will be analysed and accounted for by multiple imputation if the assumption of data missing at random (MAR) is not violated [ 66].
Missing data and drop-outs will be analysed and accounted for by multiple imputation if the assumption of data missing at random (MAR) is not violated.
In PB-sQF, a statistical threshold is easily established by bootstrapping without any assumption of the data distributions.
As with hypotheses, we can represent the empirical content of given background assumptions by a set of data streams.
Although BID has shown great potential, the method is limited by the assumption of continuous participant response data.
In the next section, the study analysis boundaries and functional unit are described, followed by details of data used and model assumptions.
In this analysis the assumption was mandated by a lack of data on the varying abilities of most vectors to transmit these two parasites.
It is quite a stretch, but the analysis is elegant and the solutions to working around substitution effects are innovative, despite the several underlying assumptions and limitations imposed by the type of data that is used.
Violation of assumptions to be met for parametric testing was identified by inspecting residuals from statistical models and eliminated, if necessary, by appropriate transformation of data.
The data of the composition analysis were elucidated by the assumption of anomalous codeposition of Zn and Co.
