Sentence examples for missing data explained from inspiring English sources

Exact(1)

Analysis of the imputed datasets suggests that accounting for the missing data explained much of the difference seen between each of the regions and South England, although the point estimate for the Midlands/Wales still suggests lower CVD incidence compared to South England (HR 0.85 (95% CI 0.64 to 1.12)).

Similar(59)

The results from analysis of the multiply imputed datasets suggest that accounting for the missing data explains some of the observed differences between regions.

In addition, authors will be expected to provide supplementary appendices in which the details of the method for analysis of missing data are clearly explained.

The steps required in preparing this complex dataset for analysis (transform, account for death, impute missing data – "tdi") are explained by example here, and in more detail in Appendix 1.

This large amount of missing data for percentages was explained by the qualitative data.

These missing data points can be explained in part by the presence of heterozygous regions, because data of ambiguous intensity were converted into missing values.

Pension scheme data were found for 91% (151 of 166) of Danish records for employees in dry cleaning, with missing data for 5 employees explained by sick leave and so on at the 1970 census.

Since our setting reflects real world pediatric HIV care where laboratory measures are sparse and usually missing at random (MAR, i.e., the likelihood of an outcome to be missing is not related to the missing data, but can be explained by the observed data), we modeled the CD4 and HIV viral load outcomes.

Most responders seemed eager to provide the information asked for, but explained missing data by the fact that the reference intervals were created by people different from those currently working in the laboratory, and the original work was not available to them.

Throughout the quantitative data collection interim analyses will be conducted on the immature data sets to help identify and explain missing data, and shift the analysis burden.

The retrospective design explains missing data for ECG, MRI and measurements of bone mineral density, as those examinations were not part of a prospective study protocol.

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