Sentence examples for shown with missing from inspiring English sources

Exact(1)

Since the results in the multivariate analyses were similar when missing values for the covariates were included as a separate category as in the analyses when omitting persons with missing values, the results are shown with missing values excluded.

Similar(59)

Recombinant TGFβRII, BMPRII (Fig. 7A), ACTRIIA and ACTRIIB (not shown) receptors with missing intracellular domains were all expressed on the MCF-7 breast cancer cell surface as expected.

Missing values in model 3 are assumed to be missing at random, since similar patient characteristics were shown in intervals with missing and non-missing values.

The build-up of lower level complaint issues (eg, staff attitudes) within a unit or hospital might be better captured, and used as a potential (or 'early-warning') indicator of poor quality care, as shown with near miss data in the medical error literature.

* missing data is shown with one asterix per missing hospital.

The fuzzy system also shows excellent robustness with missing measurements and degrades gradually in the presence of faulty sensors/measurements.

Further analysis shows that those with missing values in MMSE were frailer (worse disability, poorer self-reported health, demented) than those with complete data.

Statistical tests of baseline characteristics showed that patients with missing data tended to score higher on GSRS-IBS (m = 48.1, SD = 12.5 vs. m = 40.9, SD = 11.2; t60 = 1.90, p =.06) than patients that completed the post-treatment assessment.

Although that we have not been able to demonstrate any selection bias for the Prytherch, Froom and Asadollahi scores looking at our primary endpoint of mortality, 6 7 11 we showed that patients with missing data in the Loekito score 8 had a significantly lower mortality.

If publication bias was suspected, results are shown without imputation and with "missing" studies imputed with Duval and Tweedie's trim and fill method.

However, studies have shown that including samples with missing data and adjusting by using confounding terms is valuable, particularly with a larger sample size (29, 30 ).

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