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We carried forward baseline observations for missing data to avoid overestimation associated with last observation carried forward because of the rebound in weight that usually occurs after weight loss.
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Sensitivity analysis will be performed by imputing baseline observation for missing data at follow-up.
We carried the last observation forward for missing data, unless otherwise indicated in our results.
In total, 3.8% (16 856) of knee replacement observations, 3.9% (16 416) of hip replacement observations, and 3.0%7878 440) of cataract procedure observations were excluded for missing data.
All studies reported using the last observation carried forward method for missing observations.
The region-of-interest analyses were performed in all enrolled participants, using MMRM model or last observation carried forward (LOCF) methodology for missing observations (eg. participants who did not complete the study).
In order to assess the impact of utilizing last observation carried forward for missing data, a mixed-model repeated-measurements analysis on the observed results (without imputation for missing data) at each week was performed utilizing the full analysis set.
Last observation carried forward (LOCF) was used for missing observations.
For the primary outcome, the randomised population was analysed on an intention to treat basis, with last observation carried forward for missing values at the end of treatment.
The monthly CLAS Energy levels shown in this graph were derived using 28-day windows for months, with the last observation carried forward for missing values and dropouts.
Intermittent missing data were imputed for the change-from-baseline analysis at 24 months: last observation carried forward for missing post-baseline data, and, while extremely rare, missing baseline data were replaced with the next available measurement.
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