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For the variables with missing values, a missing indicator was used.
To adjust for sample attrition, all of our analyses were conducted using ten imputed datasets created via chained equation multiple imputation for missing values, a method recommended over listwise deletion of cases with missing observations (e.g., Widaman 2006).
In this paper, we introduce a novel pretreatment method applicable for two-dimensional fluorescence landscapes, where instead of inserting only missing values a mixture of zeros and missing values are inserted close to and outside the Rayleigh scatter lines.
Using the EM (expectation-maximization) algorithm for imputation of missing values, a second dataset including estimates for individuals with missing data was created (n = 1114).
For missing values a sensitivity analysis will be used to estimate the effect of missing values.
In case of missing values, a complete case analysis was performed.
Similar(34)
Because the manual for the questionnaire does not contain instructions for dealing with missing values, an IHLOC score was only computed for participants who had no missing values.
Eliminating data that have any missing values, an approach called 'listwise deletion', has been followed in some prior work.
Multiple imputation with chained equations works as follows: for each variable with missing values an individual imputation model is fitted.
Column completeness is defined as a measure of the missing values for a specific property or column in a table.
If the proportion of missing values for a variable was < 25%, a mean value was imputed; variables with > 25% of missing values were excluded from analysis [ 72].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com