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Analyzing the data with a complete-case approach (thus without imputation of missing values) yielded similar results.
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Imputation of baseline measurements for missing A1C values yielded similar results.
Improper handling of the multiply imputed data sets might results in substantially large underestimation of optimism as is the case with approach 2. We recommend approach 4 since it fully replays every step that was performed with the original data with missing values, and yields estimates of optimism that are close to the Optimism external.
However, intention-to-treat analyses using estimated data for missing values of all participants yielded similar results.
The analysis with all missing values recoded into separate categories yielded very similar results (data not shown).
This method of imputation of missing values has been shown to yield valid inferences and is recommended for large community intervention trials with small cluster sizes.
From the 238 Q fever PCR-positive samples from the farms in this study, 125 (53%) yielded a genotype with <2 <span class="lh">missing values: 52 with a complete genotype, 48 with 1 missing value, and 25 with 2 missing values.
Results of regression analyses on a sample without missing values (n=75,490) compared to the study sample with missing values (n=76,386) yielded nearly identical odds ratios, with slightly wider confidence intervals at the upper end.
However, GBS as used in this investigation yielded data containing large amounts of missing values.
Both samples in total yielded 714 respondents, among which, 3 had missing values in the SIQ.
This yielded a study sample size, before excluding subjects with missing values, of 576 cases and 4,105 controls.
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