Sentence examples for missing data used from inspiring English sources

Evaluation of missing data used in analysis in survivors and non-survivors.

This approach to missing data used estimates of allele frequencies without allowing for their uncertainty, a deficiency later corrected in the approach of Chung et al. [ 25].

The yields were 103/154 (67%) and 73/154 (47%), respectively, even before considering imputed values due to missing data used for >50% of some items in these scores.

8 Efficacy analyses were performed in the intent-to-treat (ITT) population (randomised patients who received ≥1 administration of study medication) with non-responder imputation of missing data used for binary response variables (eg, DAS28-ESR remission and ACR response).

We dealt with the missing data using established epidemiologic methods.

We first imputed the missing data using mice (multiple imputation algorithm), based on 30 multiple imputed datasets.

Pseudo-marginal methods instead integrate across the missing data using a Monte Carlo estimate for the likelihood, generated from multiple independent simulations from the model.

Expectation Maximization (EM) algorithm is often used for filling in missing data using available data from the entire time series (Junninen et al. 2004; Dempster et al. 1977).

ANOVA was implemented to all parameters, except for those data with unbalanced sample size and missing data using the GLM statistical analyses.

The predicted value for the observed data is then matched to a predicted value of the missing data using, say, a nearest neighbor distance metric.

Fifth, we developed a method for checking for inconsistencies and filling-in missing data using a 3-node consistency check.