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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.
Missing baseline data were replaced using multiple imputations (see supplementary methods, available online only).
For all analyses, missing baseline data were replaced using multiple imputations.
Participants' missing single items of baseline data were replaced by stochastic regression imputation (SRI).
Similar(53)
Missing data were replaced with baseline data in the intention-to-treat analysis.
Changes in weight and levels of engagement with the Internet-based treatment system were examined via separate repeated-measures ANOVA that followed the intent-to-treat (ITT) principle in which missing data were replaced by baseline weights (assuming no weight loss).
Missing 6-month data were replaced with their baseline values using the 'no change' formulation of intention-to-treat by assuming that no change occurred between baseline and 6 months.
Missing data were replaced by carrying forward the last observation to evaluate changes over baseline to after 16-week intervention, and to 16-week post-intervention follow-up i.e. 32 weeks.
Missing data were replaced by the Last Value Carried Forward method using the last post-baseline value for one subject at the earlier time when appropriate.
More suggestions(16)
baseline data were collected
baseline data were used
baseline measurements were replaced
baseline data were summarized
baseline data were noted
baseline data were obtained
baseline data were recorded
baseline data were averaged
baseline guidewires were replaced
baseline data were documented
baseline data were analyzed
baseline data were evaluated
baseline data were entered
baseline data were presented
baseline data were drawn
baseline data were included
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