Sentence examples for imputations under from inspiring English sources

Parameter estimates obtained from the imputed datasets assuming MAR are reweighted to represent the distribution of imputations under a MNAR mechanism.

Multiple (five) imputations under the missing at random conditions were used to account for missing data in all variables that were included, according to procedures previously described [ 29, 30].

Missing data were accounted for using the missing assigned approach where infrequently missing data were meaningfully assigned to an existing category (rather than by multiple imputations under the missing at random assumption).

And now they are spreading misinformation about changes to the system of dividend imputation, under which a vast majority of $5bn in tax rebates goes to the wealthiest retirees who pay no tax.

Utah's loss was North Carolina's gain because of a decades-old method known as imputation, under which addresses on the Census Bureau's master list where no one has been contacted after multiple efforts are assigned a number of occupants based on data collected from households in the immediate vicinity.

In Section 3, we discuss MDT imputation under the framework of ML decoding and why it becomes difficult when using a model trained with decorrelated features such as cepstral features or features generated by, e.g., linear discriminant analysis (LDA) [29].

Quality of imputation under different population structures was assessed.

Sensitivity analyses for the primary outcome included multiple imputation under a pattern mixture model (Little, 1993) to explore informatively missing outcome data.

Multiple imputation under missing at random [ 64] will be used for patients with some follow-up but unmeasured one-year outcomes.

Multilevel multiple imputation under missing-at-random assumption was used to estimate missing data for complete immunisation status and covariates (40).

To gain an intuition for these weights, if δ is positive the chance of observing Y is greater for more positive Y. Thus in the data after imputation under MAR, imputations with small Y will be under-represented.