Sentence examples for missing data instead from inspiring English sources

Data were reanalyzed using regression imputation of missing data instead of last observation carried forward (4 imputations, R-square = 0.93).

The EM algorithm is known as a very powerful statistical approach to carrying out statistical analyses with missing data because in this algorithm the distribution of missing data, instead of imputed values, are utilized in the estimation and inference.

In these post hoc analyses, the baseline observation carried forward (BOCF) or worst observation carried forward (WOCF) values were carried forward to impute missing data instead of the LOCF method being used.

However, Lubin et al. (2004) generally recommend the use of multiple imputations of missing data instead of single-value approaches, which use either fixed or randomly selected fill-in values.

Since only 3 patients were missing any data on clinical diagnostic variables (1 patient was missing data on heart rate and 2 patients were missing data on tears), we used case-wise deletion to handle missing data instead of single or multiple imputation.

Here, groupings in the composition-based NJ tree appear to be largely independent of missing data, reflecting instead real differences in mean composition among taxa.

To compensate for some of the missing data, mission managers instead ordered more pictures than usual to be taken from the space station of the shuttle as it moved in for its docking.

Variable missingness was also assessed to determine if missing data were missing or instead represented true zeros.

Instead missing data were excluded listwise, yielding an effective sample size of 432 records for the private factor analysis.

Secondarily, we instead imputed missing data for no 24 hour quit attempt being made in the six months, and we recalculated the difference in proportions.

Yet, the multilevel methods required to achieve this are quite novel and multiple imputation is generally recommended for imputing sporadic missing values instead of systematically missing data.