2013
DOI: 10.1016/j.jclinepi.2013.03.017
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Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis

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Cited by 436 publications
(350 citation statements)
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“…On the other hand, the larger benefits in terms of enhanced cardiorespiratory fitness appeared among those with medication for pre-existing hypertension or heart disease. Due to some differences in missing data between groups, at baseline and follow-up, the mixed-model analysis was applied, since it allows an intention-to-treat analysis with missing observations (62).…”
Section: Strengths and Limitations Of The Studymentioning
confidence: 99%
“…On the other hand, the larger benefits in terms of enhanced cardiorespiratory fitness appeared among those with medication for pre-existing hypertension or heart disease. Due to some differences in missing data between groups, at baseline and follow-up, the mixed-model analysis was applied, since it allows an intention-to-treat analysis with missing observations (62).…”
Section: Strengths and Limitations Of The Studymentioning
confidence: 99%
“…Missing values were assumed to be missing at random. Under this assumption, mixed models provide valid estimates, without data imputation (Twisk et al 2013). If extreme outliers were found, sensitivity analyses with and without the specific observations were conducted to decide on the best model.…”
Section: Discussionmentioning
confidence: 99%
“…Missing data, mainly due to loss to followup, were addressed by the use of the MIXED procedure 42 and the following sensitivity analyses. Complete case analyses were conducted for all eligible women.…”
Section: Discussionmentioning
confidence: 99%