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pubmed-article:12413241pubmed:abstractTextPatients may withdraw from longitudinal clinical trials for many reasons. Methods for handling the problem presented by missing data of patients who withdraw before reaching the time point of the primary measurement include carrying the last observation forward (LOCF), data as observed analysis (DAO), mixed model approaches, and pattern mixture models.lld:pubmed
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pubmed-article:12413241pubmed:articleTitleComparison of alternative strategies for analysis of longitudinal trials with dropouts.lld:pubmed
pubmed-article:12413241pubmed:affiliationMerck Research Laboratories, Pennsylvania, USA. guanghan_frank_liu@merck.comlld:pubmed
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