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For the other items (poultry meat and fish) missing information of price data were replaced using the approach presented in Majumder et al. (2012) who extended the approach of Cox and Wohlgenant (1986).
All analyses were intent-to-treat, and missing data were replaced using the last observation carried forward method.
Missing data were replaced using a simple exponential smoothing method.
Missing baseline data were replaced using multiple imputations.
Missing baseline data were replaced using multiple imputation (see online only supplementary methods).
14 Missing baseline data were replaced using multiple imputations with 20 cycles.
Similar(46)
We find power sensitivity to be within acceptable limits across four proportions of missing observations (10%, 20 %, 30, and 40%) when missing dand are replaced using the Expectation-Maximization Algorithm, more commonly known as the EM Procedure (Dempster, Laird, & Rubin, 1977).
As noted above, missing data was replaced using the last observation carried forward method.
Prior to analyzing the data using chaos theory, blinks were removed and the data points were replaced using cubic spline interpolation.
In an alternative analysis, missing data for (2) were replaced using multiple imputations [ 42]; results differed little from the main analysis, with maximum differences in unadjusted total costs of 5, 5, and 7% in Groups 1, 2, and 3, respectively.
For all other criteria, missing data (from 2.7%to4.8.8%) were replaced using linear regression between previous and next values, if available.
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