Exact(2)
PCA was performed on five variables for C4 cycle enzyme activity, with missing values estimated using the EM algorithm for PCA as described by Roweis (1998).
Log-ratios were preprocessed following several steps: first data from genes with missing values were filtered out, and their missing values estimated with LSimpute [ 69] using the 'Adaptive' method.
Similar(58)
Imputations were repeated using different initial missing value estimates to provide assurance that a global minimum was obtained.
3 From these estimates, which included values imputed for missing values, we estimated changes in EQ-5D over one year (table 5).
Next, missing values were estimated by Kth nearest neighbor (KNN) imputation using the impute package of R. The estimated values were less than 0.2% of the total.
Missing values were estimated using mLOCF.
Missing values were estimated by linear interpolation as before.
Missing values were estimated.
Missing values were estimated for each item.
Missing values were estimated using linear interpolation from the values submitted in previous and subsequent quarters.
In order to optimize the sample size, missing values were estimated using Expectation Maximization.
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