Sentence examples for Methods for dealing with missing data from inspiring English sources

Analytical results derived from the multiply imputed data were compared with results obtained with other methods for dealing with missing data (including complete case analyses and with missing data indicators with single-value imputation).

To quantify the degree of disagreement between the two most popular methods for dealing with missing data: intention to treat (ITT) and per protocol (PP).

Existing kNN imputation methods for dealing with missing data are designed according to Minkowski distance or its variants, and have been shown to be generally efficient for numerical variables (features, or attributes).

For real datasets, the choice of methods for dealing with missing data can become a critical component of the data processing.

We also suggest statistical methods for dealing with missing data as a tool to estimate population parameters in the most accurate way, when the samples concerned are likely not to be random, such as the case of online job vacancies.

There are no universally accepted methods for dealing with missing data; the only consensus is that sensitivity analyses should be conducted using different methods and comparing the results.

The most commonly used method for dealing with missing data is complete case analysis (CCA), a deletion-based method.

We have previously described a method for dealing with missing data in a prospective cardiac registry initiative.

Maximum Likelihood Estimation method is a superior method for dealing with missing data with structural equation modelling by assuming multivariate normality [ 14].

Multiple imputation is the most accurate method for dealing with missing data in most of the missind data scenarios we assessed for the SDS.

This technique was also the most accurate method for dealing with missing data for the Zung Self-Reported depression scale [ 39].