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Estimates were comparable to those shown when the analysis was restricted to the subset of study population with complete data (i.e., without the use of multiple imputation to impute missing data) (data not shown).
In an exploratory analysis of our dataset, when triglyceride levels were added to the regression model (after use of multiple imputation methods to impute missing triglyceride values for nine men) that included ethnicity-based diabetes risk and family history of diabetes as covariates, the relationship between AHI and insulin sensitivity index remained significant (P = 0.015).
Use of multiple imputation allowed us to account for the potential bias caused by missing data.
We explored the use of multiple imputation techniques (20 simulations) using the 'mi' statistical package [ 15] to impute missing values for variables race/ethnicity (4%) and insurance status (4%).
Peugh and Enders (2004) demonstrated the use of multiple imputation using the multivariate normal model in the context of the Longitudinal Study of American Youth.
Air pollution time series are time variant with rapid, sometimes large changes, which would limit the use of multiple imputation methods.
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Using the estimated parameters, we correct the bias in the estimation of observed heterozygosity through the use of multiple imputations of alleles in cases where dropout might have occurred.
However, Lubin et al. (2004) generally recommend the use of multiple imputations of missing data instead of single-value approaches, which use either fixed or randomly selected fill-in values.
Other missing data will be handled using methods of multiple imputation.
We used the method of multiple imputation to impute these missing values for each patient, further reducing bias [ 25].
We use the theory of multiple imputation to characterize the potential loss of precision due to drop-out induced by the more flexible design.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com