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We used a multiple imputation method to impute missing NIHSS values.
The use of the multiple imputation method to impute missing data may also have distorted our estimates if the missing data were not random[ 22].
Long-range phasing and haplotype library imputation constitute a fast and accurate method to impute phase for SNP data.
The imputation method consisted of a) using the Markov chain Monte Carlo method to impute missing data to create a monotonic missing pattern and then b) using a logistic model to complete the imputations.
We selected a hot-deck method to impute missing data, 27 and compared this method against two other regression-based imputation procedures.
We used a Markov chain Monte Carlo (MCMC) method to impute missing values in the indicators of the HRL indices.
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For the analyses, we used multiple imputation methods to impute all missing values.
In confirmatory analyses, we used multiple imputation methods to impute missing data.
We used multiple imputation methods to impute missing data, and we cannot rule out the possibility that data were not missing completely at random.
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).
We used multiple imputation methods to impute missing data for body mass index and smoking; although this assumes that data are missing at random, non-ignorable mechanisms that would have had more than a minimal effect on the estimated odds ratios are unlikely.
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