Sentence examples for missing data outcomes from inspiring English sources

Based on the extent and nature of missing data (outcomes, predictors, baseline, and items from scales), we will use one of several strategies for data analysis.

Although every effort was made to obtain missing data (outcomes, study design) from the trial authors, it was not possible in every case to obtain these data; the included studies are therefore not represented fully in the meta-analyses.

19 20 21 Seven domains were assessed: confounding, selection, exposure measurement, misclassification over time, missing data, outcome measurement, and selective reporting.

We imputed missing data (outcome, exposure, covariate) by cohort, using multiple imputation by chained equations (ICE) (Rubin 1987; van Buuren 2007), and performed pharmacokinetic model simulations for each imputation set.

Authors were contacted for missing data and outcomes.

We emailed the corresponding authors for missing data on outcomes.

Missing data on outcomes (28.5%) and individual patients (20.5%) was also common.

Missing data on outcomes was predicted by maternal education, age, and marital status.

Sensitivity analyses will be conducted, however, using multiple imputations method to explore the potential impact of missing data on outcomes.

The primary comparative analyses were conducted using an intention to treat approach without imputation of missing data on outcomes.

We used multiple imputations to deal with missing data (both outcomes and covariates), with 50 complete datasets imputed for analysis.