Sentence examples for multiple imputations showed from inspiring English sources

However, sensitivity analyses using multiple imputations showed minimal changes to our estimates, so the effect of this bias is likely to be negligible.

Analyses of multiple imputations showed that the selective participation did not affect the prevalence estimates of health problems at wave 1 [ 38].

In addition, replication of the complete case analyses by multiple imputation showed mostly the same pattern.

We show results from a complete case analysis as the analysis using multiple imputation showed the same pattern of association.

Fully adjusted and sensitivity analyses after multiple imputation showed similar patterns, although a few associations, particularly with social class and maternal education, were attenuated.

The variation is unlikely to be explained by differential response rates between regions, because results using multiple imputation showed the same pattern of association.

Secondary analyses after multiple imputation showed a difference in the intervention group compared with the control group for total cholesterol concentration (−0.35 mmol/l, −0.70 to −0.001), self management behaviours (diet score 0.18, 0.13 to 0.33; physical activity score 0.24, 0.05 to 0.43), and confidence to control weight (0.40, 0.11 to 0.69).

Multiple imputation shows promise for estimation of an occurrence rate in cohorts with attrition.

Results of multiple imputation analysis showed the same tendency, with slightly different effect sizes for each predictor.

Analysis of Multiple Imputation (MI) showed that this selective response hardly affected the prevalence rates of health problems among survivors [ 20].

Sensitivity analyses based on multiple imputation data showed highly similar results; for example, all significant results reported above were also significant except for physical quality of life, which became marginally significant (P = 0.057).