Sentence examples for incomplete case analysis from inspiring English sources

In the Cox regression analyses, single imputation methods were used to reduce missing covariate data for smoking (n = 3 (< 1%)), HDL-cholesterol (n = 4 (< 1%)), triglycerides (n = 2 (< 1%)), systolic blood pressure (n = 13 (< 1%)), waist circumference (n = 76 (3%)), hs-CRP (n = 11 (< 1%)), since incomplete case analysis leads to loss of statistical power and possibly bias.

Data refinement for this study excluded incomplete data cases (whole case analysis).

With half of the baseline population having incomplete data, a complete case analysis does not make efficient use of the data, because a large amount of the available information is discarded, resulting in imprecise estimates of associations.

For the risk factor analysis, data were initially checked and missing values dealt with using complete case analysis, where incomplete units were removed.

The default strategy is to eliminate all incomplete cases from the analysis.

This procedure includes incomplete cases in the analysis and employs restricted maximum likelihood estimation to calculate parameter estimates.

The data for 80 patients had to be excluded from the analysis because of incomplete case record forms.

Of note, a complete case analysis deletes all participant IDs with incomplete data (in the variables involved) from the analysis.

Ten of the covariates considered for this model were incomplete, and complete cases analysis included just 518 patients.

For this analysis incomplete case-control sets could not be used and therefore 248 subjects were excluded.

However, because ANCOVA relies on analysis of complete cases only, the levels of missing data will be reviewed and, if appropriate, the data will be analysed using mixed models instead, which allows incomplete cases to contribute to the analysis.