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A missing values analysis was undertaken.
Missing values' analysis showed no item with more than 2% missing values (range 0 1.9%).
All items were screened with descriptive statistics and missing values analysis.
Feasibility of the DQI, EQ-5D + C and the QOL-AD were assessed by a missing values analysis.
A missing values analysis was conducted in accord with best practice guidelines (Jeličić, Phelps, & Lerner, 2009; Schlomer, Bauman, & Card, 2010).
Intention-to-treat analyses will be conducted with use of SPSS missing values analysis to impute all missing data on the continuous measuring multiple imputation methods in SPSS.
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The depression data for each group was then analysed using descriptive statistics, missing value analysis (including the attrition rate) and time series analysis.
Second, a missing value analysis was performed.
Missing data on the item level will be handled using SPSS missing value analysis.
For the estimation of missing items, missing value analysis in SPSS was used.
Missing data will be handled using SPSS missing value analysis on item level.
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