Sentence examples for missing values analyses from inspiring English sources

Missing values analyses revealed that persons with missing values on mental and/or physical function scales were significantly more likely to be lower educated, have fewer basic and luxury goods and have worse physical and mental function scores at the 2004 baseline.

Because parental education was a family-level moderator (i.e., observations within families cannot be considered independent), and because FSIQ scores of subjects from the same family can also not be considered independent, we also performed missing values analyses for the first subjects of each family only.

Pearson's correlation coefficients and missing value analyses were conducted using Prediction and Analysis Software version 18 (IBM, Somers, NY).

We undertook missing value analyses using logistic regression separately, for each measure of empathy, to examine non-response bias.

The missing value analyses and their imputations were conducted in R (V.3.0.2 for Microsoft Windows) using the MICE package.

Imputation was done using the linear regression method (missing value analyses) available in SPSS for Windows version 13.0 software.

Missing value analyses showed four categorical variables with over 10% missing cases and a category designated as "unknown" was added for those variables.

There are methods available for assessing this assumption or incorporating missingness into statistical models, but missing value analyses was not the aim of this project.

In order to assess the presence of non-response bias, we undertook missing value analyses using logistic regression separately for men and women, for each measure of empathy.

Missing value analyses showed that subjects with and without missing values for urbanization level and mean real estate price did not differ with respect to their FSIQ scores (for both, F 1,753) < 1, ns).

For study questions 1 and 2 (prevalence of depression), we undertook missing value analyses for men and women separately, using logistic regression to determine whether HADS-D on entry predicted subsequent study participation.