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Another potential limitation is that studies often use different methods for handling missing data due to dropouts, including last observation carried forward, baseline observation carried forward, multiple imputation, available data, and others.
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If judged appropriate, missing data will be imputed, using the multiple imputation facilities available in R (http://www.r-project.org/).org/
Further details of the basics of multiple imputation are available from Schafer [ 15].
Analyses will follow Harrell's guidelines 78 and will use the multiple imputation procedure available in SAS SAS Inc , North Carolina, USA).
24 We used the predictive mean matching multiple imputation method available in Stata version 11 (Statacorp, College Station, TX), a partially parametric method, and obtained 20 imputed datasets.
As in previous studies[ 12, 27], this pattern of missing data supports the use of multiple imputation (results available from the authors) under the assumption that data are missing at random.
Multiple imputation techniques available in standard statistical software [ 3, 4] enable parameter estimation under the assumption that missing data are missing at random (MAR), meaning that the missingness mechanism depends on observed data only, and given these no longer on the missing data [ 5].
Regardless of the proportion of missing values, complete-case analysis is most frequently applied, although advanced techniques such as multiple imputation (MI) are available.
We used this simplistic method, being aware that more comprehensive multiple imputation techniques are available.
Information on the multiple imputation procedure is available in the Supplemental Material, "Details on multiple imputation (MI) modeling," and Table S2.
If judged appropriate, missing data will be imputed using the multiple imputation facilities (mice package) available in R (http://www.r-project.org/).org/
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