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Because of the variation in the timing of the midchildhood weight measurement, we imputed weight at 48 mo for the Bt20 and Cebu cohorts.
Their BMIs were calculated using imputed weight and/or height derived from the linear regression equation: where values for the y-intercept and gradient were obtained from gender-specific weight-height regression lines drawn from all cohort participants with known heights and weights.
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For this approach, multiple imputation was used to handle missing weights for individuals who dropped out after baseline; values were imputed assuming weight was regained back at a rate of 0.3 kg per month.
The percentage of missing data for these measures was less than that imputed for weight values as some patients opted to mail these surveys back as data were self-report.
Weight data at 21 years of age were based on military records for 2205 (44%) men; measured weight at age 20 22 years was obtained directly for 1258 men and imputed from weights between 17 and 19 years or between 23 and 25 years of age for 947 men.
The expression values were logarithmically transformed (on a base 2-scale) to impute equal weight to gene-expression levels with similar relative distances to the geometric mean.
The imputation takes advantage of correlation in repeated measures; however, it also explicitly incorporates uncertainty in missing values about the expected trends (i.e. it does not simply impute future weight as values predicted from a linear regression on the previous values).
For genes { g s, s ∉К }, we impute missing weights as follows: According to Equation (1), missing weights { w s → j KO } are found via a weighted average of scores { w ℓ → j KO } ℓ ∈ Κ with weights proportional to the corresponding similarity measures.
The BMI was imputed using the weight and height recorded [ 29].
Volumes of these specimens were therefore imputed using specimen weight (twice measured: in the operation theater and by the pathologist).
Imputed values for weight at age 18 years and bra size were used to prevent the exclusion of a substantial number of women (564) from the analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com