Sentence examples for missing data suggests from inspiring English sources

Both the questionnaire and software were developed by MEND Australia, however, there were issues with data entry (i.e., no data entry controls) and the high rate of missing data suggests better facilitator training is required to ensure program fidelity in real-world situations.

The high number of missing data suggests that these items are difficult to understand or irrelevant to the participants [ 31].

21 In the present study, the sensitivity analysis for the methods of handling missing data suggests that the conclusion drawn was unaffected by the use of either CCA or MI.

Low levels of missing data suggest that the PEQ-CAMHS is acceptable.

The levels of missing data suggest that the measure is acceptable to patients.

Finally, should missing data patterns and reasons for missing data suggest a bias or confounding, we will conduct sensitivity analyses using pattern mixture models to examine the influence that dropout bias (informative missingness) may have on treatment differences.

Overall, there were very low levels of uncertainty in response to Back-PAQ items, and very little missing data, suggesting that respondents understood the items, and the response options were sufficient for respondents to feel comfortable making a selection.

Alternative assumptions about missing data suggested a significantly higher success rate for the primary outcome measure for the mesh group when subjects not returning for review were assumed to be treatment failures.

However, less than one percent of our cohort was lost due to issues of missing data, suggesting that the temporal discontinuity issue was not a significant factor in our study.

Finally, imputing missing data suggested the potential presence of an association in some instances (e.g. girls being bullied and developing self-harm thoughts), as well as the disappearance of an association in other instances (e.g. girls living arrangement and developing self-harm thoughts).

The visualization of the missing data structure suggests a random distribution of the missing value observations.