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Influence of imputing for GBS-like data sets on power of association mapping.
Both methods proved effective in imputing for missing values in the large analytic dataset (n = 1339).
The prevalence estimate was generated after adjusting and imputing for missing values using the inverse probability weighting.
Adjusting for imbalances between baseline factors and imputing for missing data using Rubin's method (10) did not alter the results (data not shown).
This procedure is conceptually the same as used when imputing, for example, millions of 1000 Genome genotypes based on a smaller set of hundreds of thousands of assayed genotypes.
No study reported imputing for missing data in the analysis, but loss to follow-up was for the most part either evenly distributed across groups 31 33 52 54 or reasons for withdrawal were stated and unlikely to be related to the true outcome.
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We used combined inferences from multiple imputations to impute for the missing data in the important variables of study interest.
In 'passive imputation' a value X* is imputed for X and then X2 is imputed as (X*).
Effectiveness GSI was imputed for the repeated measurement data, and after the imputation the AUC was constructed from the imputed values using equation (4) given in the Appendix.
Missing data were imputed for discrimination and CES-D using the individual mean imputation method, which imputes a value based on how a subject responds to other questions.
The second concerned the degree of divine wrath imputed for transgressions ("God is angered by my sins").
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com