Sentence examples for data imputation techniques from inspiring English sources

Data imputation techniques were used to impute missing data, which has the advantage of eliminating the bias introduced by list-wise deletion of observations in cases where information for some of the variables required by the model is missing.

RegEM is currently one of the state-of-the-art data imputation techniques, and its performance is compared against the proposed and other schemes in the experimental section.

For missing data, imputation techniques will be used.

In the case of large missing data, imputation techniques will be considered.

Linear and logistic regression (but not CART) models require complete data on the study subjects, unless missing data imputation techniques are employed.

Otherwise some data imputation technique should be used to predict the missing values; for some alternatives see [2].

Adequate treatment of missing data implied that the absence/presence and proportion of missing data were reported, and if > 10% of subjects had missing data then imputation techniques that take account of the uncertainty of missing data values (for example, multiple imputation/maximum expectation) or sensitivity analysis were used [ 22].

To handle missing data, multiple imputation techniques were used in 2 studies (Kovacs et al. 2012, Royuela et al. 2014).

MCAR data are less likely to introduce bias to imputed data, whatever imputation technique is used [65].

Mean substitution techniques (for individual-item missing resource use data) and multiple imputation techniques (resource use data) will be carried out to ensure that all trial participants are included in the final analysis.

Gene expression data often contain missing expression values, which may require the application of missing data estimation or imputation techniques to obtain a complete matrix of expression values.