Sentence examples for the potential of missing data from inspiring English sources
For this longitudinal analysis, we will have 400 children assessed on 3 occasions, yielding 1,200 observations for all variables in the analysis, and a ratio well above the 5 10 recommendation, allowing for the potential of missing data.
(iv) Lastly, if the data were not missing at random, a discussion of the potential impact of missing data on the findings of the study was included in Discussion.
The potential impact of missing data on the findings of the review will be addressed in the 'discussion' section.
If necessary, the potential impact of missing data on the findings of the review will be described in the 'Discussion' section.
Specifically, multiple imputation was conducted in the first set of sensitivity analyses to assess the potential effects of missing data on the results, and we observed ORs almost identical to the original results (see Supplemental Material, Table S1).
Imputation-based sensitivity analyses will be conducted to examine the potential effect of missing data on the results.
To gauge the potential effects of missing data on the final model, we compared mean PIAT scores between children with complete data and those with any missing data [ 49].
We will conduct sensitivity analyses to assess the potential effect of missing data, and will investigate the effect of adherence with the intervention.
The use of prenatal records as a legal documentation tool with the potential implications of missing data for clinician accountability may have accounted in part for PRC reluctance to include recommendations that were not feasible within the context of local health care resources [ 25].
19 We conducted sensitivity analyses to assess the potential effect of missing data using multiple imputation chained equation methods, 29 with the imputation model including all variables associated with missingness of the primary outcome at 12 months.
However, it is important to note the potential effect of missing data, which may have caused us to underestimate cumulative prevalence.
