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We used multiple imputation and nonresponse weighting to adjust missing data.
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The "adjusted missing" teeth were calculated by the sum of the observed missing teeth and the number of residual dental roots present for all 32 tooth spaces.
Smoking status was not associated with the calculated mean number of adjusted missing teeth in this study group of 40 67 year-olds.
The method used to adjust for missing data should be chosen appropriately, depending on the reason for the missing data.
But if you're trying to adjust for missing half of all Americans, it's time to fix your methods.
The most obvious rationale for normalization of HFE by a size-dependent term is to adjust for missing residues, since HFEs depend on the size of proteins.
We used inverse probability weighting (IPW) to adjust for missing data on the 'Future Outlook' variable.
Mean imputation will be used during analyses to adjust for missing values of baseline variables.
To adjust for missing data, unobserved events of acquisition and clearance were augmented statistically.
We undertook sensitivity analyses using multiple imputation to adjust for missing data.
Full maximum likelihood estimation was used to adjust for missing data on latent class indicator variables.
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