Sentence examples for missing data estimates from inspiring English sources

All imputation methods that do not relay on physical models must base their missing data estimates on the signals' characteristics and behavior.

For the steam processing part, a correlation base technique was chosen as such techniques are able to correlate well among sensors and are able to efficiently handle missing data (estimating missing values by way of linear regression models using other sensors during that period of time).

Rasch model is based on item response theory (IRT) and it allows missing data estimate examinee' stress resistant ability [ 37, 38].

Indeed, adjusting for missing data, estimated trends showed evidence of decreases in some reported sexual risk behaviour between 2005 and 2011, including fewer men and women reporting multiple sexual partnerships and concurrency.

After data are cleaned, the missing values analysis procedure in SPSS Version 22 will be used to: describe the pattern of missing data; estimate means, standard deviations, covariance and correlations for different missing value methods; and impute the missing values with estimated means from regression or expectation minimization methods.

The pooled estimates of the treatment group effect with imputed data were −1.295%5% confidence interval −4.2 to 1.9) for PRWE and −3.2 (−6.2 to −0.1) for DASH, with the percentage of the variability attributable to the uncertainty caused by the missing data, estimated at 5.8% and 5.5% for the two outcome measures, respectively.

For participants with missing data, imputed estimates were used as reported by the trial authors.

We will conduct sensitivity analyses to assess the impacts of missing data on estimates of effect.

Another concern may be that missing data impact estimates of branch lengths [but see [ 83]].

This approach to missing data used estimates of allele frequencies without allowing for their uncertainty, a deficiency later corrected in the approach of Chung et al. [ 25].

This study does not have access to individual patient data limiting our understanding of patients who do not have smoking status recorded and the possible impact of missing data on estimates of smoking prevalence.