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The prevalence of depressive symptoms was 9.8% in the complete case and multiple imputation samples (9.4% in full sample).
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To maintain the power, we decided to proceed with the multiple imputation sample.
After multiple imputation, the sample did not significantly differ from the former sample without multiple imputation.
As far as we know, this is the first study that addresses both multiple imputation and sampling variation on the inclusion frequency of prognostic variables.
Rubin suggests repeating the imputations many times (multiple imputation), by sampling from the predictive distribution of the missing data given the observed data, and then analyse each completed data set and combine the statistics considering the variability (5, 6).
$ We used multiple imputation and sampled (n = 10) from a uniform distribution with a lower bound of delay = 0 and an upper bound of delay = number of days since the start of the study + 7 days.
Missing values were imputed via 5-fold multiple imputation involving repeated sampling the empirical multivariate distribution using the Amelia package [ 46] within R statistical programming environment [ 47].
The approach combines multiple imputation and copula sampling to produce a stochastic individual tree growth and yield projection system.
Comparisons to other available non-imputation incomplete data methods is made via simulation studies to conclude that there is not much gain in using the computer intensive multiple imputation methods for small sample repeated measures data analysis in terms of the power of testing hypotheses of parameters of interest.
We also used multiple imputation to maximise the sample size available.
In order to include all randomized participants in the ITT sample, we will use multiple imputation [ 33] to impute missing caries examination data for the V6 (final) visit.
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