Sentence examples for missing outcomes for from inspiring English sources

Missing data were handled by conducting complete case analysis; only two students were missing outcomes for one or two of the scales.

The appropriate strategy in this instance is using complete case analysis for any CRTs with a small percentage of missing outcomes (<15%), using standard MI to impute missing outcomes for CRTs with a small design effect (VIF<3), or within-cluster MI to impute missing outcomes for CRTs with a large design effect (VIF≥3) and cluster size (>50).

These strategies try to predict missing outcomes for a patient who has withdrawn from the trial using data from subjects who stayed in the trial and for whom all data have been collected.

Line 1004 refers to imperfect strategies that ' try to predict missing outcomes for a patient who has withdrawn from the trial using data from subjects* who stayed in the trial and for whom all data have been collected'.

*SD = standard deviation † Missing outcomes for 10.1% (n = 55) of patients registered Among patients with documented anti-TB treatment outcomes, 69% (n = 336) had successful outcomes (i.e., either cured or completed) and 11.1% (n = 60) died before completing anti-TB treatment.

COMPASS was also used to assess the potential (missed) outcomes for a patient that had not been referred to the stroke team.

All models included multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up.

Therefore the most parsimonious model (the one we used) controlled for clustering within CMHW only.> -wrap-foot>> -wrAllfoot> All models included multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up.

This two stage procedure allows for missing outcomes assuming that they are missing at random.

However, the reasons for missing outcomes are unrelated to the actual outcome and to maternal and gestational age in cases subsequently traced.

The final analyses involved generating both robust standard errors and corresponding confidence intervals for the treatment effect estimates, together with weighting adjustments to allow for missing outcomes.