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Handling of missing data and statistical analysis were conducted by using Stata 12.0.
The proper handling of missing data is a complicated endeavor [10].
The handling of missing values is a topic of growing interest in the software quality modeling domain.
To recommend methodological standards in the prevention and handling of missing data for primary patient-centered outcomes research (PCOR).
This was largely due to the significant fraction of missing data, necessitating a principled approach to the handling of missing data in statistical estimation.
We explain this deviation mainly on the basis of different test conditions (low-stakes vs. high-stakes testing) and a different handling of missing values.
In addition, meta-epidemiological research in orthodontics has indicated that inadequate randomization procedures, blinding and handling of missing data are pervasive within clinical trials [7].
Maximum likelihood mixed-effects models also have several other advantages over the classical least squares approach regarding better handling of missing values, parameter estimation and prediction [9].
Without minimizing the need to also improve FAM-MDR's handling of missing data (whether at the genotype or phenotype level), not being able to account for the full complexity of a pedigree is certainly a drawback of PGMDR.
4. Is handling of missing information described?
Details on handling of missing scores were described previously [ 24].
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