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These missing covariates were imputed with a multiple imputation model.
We will examine the structure and pattern of missing data and, if appropriate, will present a sensitivity analysis based on data imputed using a multiple imputation model.
In Section ' Results', the constructed multiple imputation model and the 20 multiply imputed datasets created are presented as well as cause-specific and net survival.
A multiple imputation model was used to generate imputed block-group level data based on US Census demographic and SES characteristic data of the block group.
Missing values in items of the health economic questionnaire and dosage of medication were not part of the multiple imputation model since these variables were too numerous and too varied to be imputed meaningfully.
To account for the confounding introduced by non-toxic seafood arsenicals, we designed a multiple imputation model to predict the missing arsenobetaine levels.
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We used fixed values for gestational weight gain and postpartum maternal weight (Verner et al. 2013) because this information was not collected in some cohorts and therefore could not be imputed within cohort-specific multiple imputation models, in contrast with missing data for other covariates (see below).
treatment Diagnostics for multiple imputation models consist in evaluating the difference between observed and imputed data.
We included all variables in the multiple imputation models.
All variables included in age adjusted models were used in multiple imputation models.
Table 2 provides the logistic regression results for the complete case and multiple imputation models.
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