Sentence examples for missing value pattern from inspiring English sources

However, we shall examine missing value pattern by multilevel logistic regression to make sure missing data are not dependent on key variables such as deprivation or overweight.

This paper proposes a new approach based on missing value pattern discovery for classifying incomplete data.

Thus a missing value pattern was generated for all items to ensure that values were missing at random.

The output of the misstable nested presented immediately below clearly shows that the missing values of the different variables were not nested because 10 statements describe the missing value pattern, thereby confirming the arbitrary nature of the missing data pattern (see Misstable nested).

A missing value pattern was generated for all items.

An appropriate method has to be chosen on an individual basis when the missing value pattern becomes known.

This accommodated arbitrary missing value patterns and employed an iterative Markov chain Monte Carlo method to impute missing values.

To understand the missing value mechanism, patterns in the data set can be examined.

A missing value analysis examined patterns of missingness by the type of measure administered (full bank or short form), by domain, and by patient age.

A missing value analysis examined patterns of missingness and did not reject the hypothesis that the data were missing completely at random (Little's MCAR test, Χ 2 (34) = 39.83, p = 0.28), when the other variables (e.g., PROMIS pediatric measure, child gender, age, recruitment site, exercise status, and BMI) were considered.

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.