Sentence examples for missing observations of from inspiring English sources

Though there were missing observations of some variables, our analyses showed that the missing observations did not significantly influence the findings of the study.

An EM algorithm was employed to account for missing observations of 0-copy SMN1 genotype in the screening population.

An overview of the variables with total number of observations and number and percentage missing observations of each variable is presented in Table  2.

We ran sensitivity analysis examining higher cut-points for the specific IgEs, considering net equivalent income and by performing a complete case analysis to examine a possible influence of missing observations on the definition of the control status of the clinical outcomes.

Missing data was dealt with through list-wise deletion of cases with missing observations on our variables of interest.

Despite missing observations on the day of DFM consultation in 20% of cases, sudden temporal changes represented by spikes, was visible around the day of DFM-related consultation for several women.

The effects of missing observations on complete and partial diallel cross designs are examined.

This is primarily believed to be due to low density and short duration of colonisation [ 4]; however atypical morphology may lead to missed observations of carriage, and our finding further emphasises the importance of considering atypical pneumococcal colony morphologies in pneumococcal carriage studies.

To assess possible structural confounding (i.e., systematically missing observations for certain combinations of exposures and covariates), we examined the distribution of family incomes within food environment quartiles for the total sample and within race/ethnic group (30).

Missing data are common in observational studies, and in the present study there were varying degrees of missing observations for some variables, some as high as 50%.

As submitting data to the database is not compulsory, and there is a large variability in data quality of individual patient data, the data may be incomplete because of missing observations for the outcomes or the prognostic factor.