Sentence examples for missing data scenarios from inspiring English sources

The evaluation of the methods here is much more comprehensive than previous studies, as it uses much longer air quality time series with no missing data, under significantly larger number missing data scenarios.

In missing data scenarios, there are a number of possible missingness mechanisms.

We assessed this for three different missing data scenarios (MCAR-p = 0.10, MAR-age and sex and MNAR).

They go on to provide a useful checklist that researchers should apply when considering the use of simple imputation methods for missing data scenarios.

Such missing data scenarios leave researchers with the choice of dropping cases entirely when they have missing responses to some questions, or alternatively, finding an imputation solution to deal with missing information.

While the conclusions regarding 'best' solutions to our particular missing data problem are relatively clear, our findings may not be applicable to other missing data scenarios.

As part of the development of the statistical analysis plan, more detailed rules for handling the missing pain VAS scores have been developed for each missing data scenario (sleep, spoilt, score missing but participant remained in trial and score missing because participant withdrawn from trial).

To characterize the missing data scenario, a stochastic variable satisfying Bernoulli distributed white sequence is introduced.

This paper proposes an active resilient control strategy for singular networked control systems with external disturbances and missing data scenario based on sampled-data scheme.

Other methods include for example modelling missing data, scenario analysis or sensitivity analysis [ 21].

Table 4 demonstrates how agreement measures change as individual subjects have increasing missing items in the 20% MCAR (p = 0.20) missing data scenario.